Film · 2014 · Films · 2010s
Ex Machina
Scored from 1,016 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
A young programmer is invited to a remote research facility to conduct an artificial intelligence test on Ava, an advanced humanoid robot created by the facility's reclusive founder. As Caleb administers a series of tests to determine if Ava possesses true consciousness, he becomes increasingly fascinated by the AI and questions the true nature of the experiment.
Ex Machina is a 2014 science fiction, thriller and drama film starring Domhnall Gleeson, Alicia Vikander and Oscar Isaac. Its certificate is R. Its country of origin is listed as the United Kingdom. Alex Garland directed it. It runs 1h 50m.
The cohort it is ranked inside is 2010s films — 13,059 of them. The calibrated figure is built from 1,016 reviewers whose rating history varies enough to place their own average. A broader pool of 1,041 reviewers with two or more reviews feeds the raw-average track instead. Rotten Tomatoes carries a separate audience for the same title, 3,785 of whom clear the calibration test.
How the score was built
We compare the reviewers of this title against every other title those same people reviewed. Each review is scored relative to the reviewer's own baseline — a 7/10 from a hard grader sits well above their average, while a 7/10 from a generous grader sits below theirs. Every reviewer then counts the same, so the result is a calibrated consensus rather than a raw average.
- Global percentile
- Where Ex Machina lands against every title we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — titles of the same format released in the same decade. A 1970s film is judged against 1970s films, not against last year's streaming series. Ranked against Films · 2010s (13,059 titles).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each title keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 1,016.
Cohort: Films · 2010s
