{"id":"W3096994708","doi":"10.1167/jov.20.11.886","title":"Contributions of vision, gravity, and the body during misestimations of orientation","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Supine position; Illusion; Orientation (vector space); Sitting; Perception; Weighting; Computer vision; Psychology; Vestibular system; Artificial intelligence; Visual perception; Audiology; Mathematics; Computer science; Medicine; Cognitive psychology; Geometry; Surgery; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003616054,0.0003261683,0.0002066294,0.0002611273,0.0001328387,0.0005993661,0.0001314362,0.0002486342,0.001351731],"category_scores_gemma":[0.004615135,0.0002026016,0.0001626612,0.000127507,0.0002488116,0.0003485046,0.0005179442,0.000295185,0.00009619621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123951,"about_ca_system_score_gemma":0.0001335531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156848,"about_ca_topic_score_gemma":0.002863588,"domain_scores_codex":[0.9997784,0.00004794628,0.00001373167,0.00004962116,0.00007707452,0.00003311774],"domain_scores_gemma":[0.9991186,0.0003388356,0.0002883148,0.00008729904,0.0001040929,0.00006274508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004428117,0.000270836,0.2738985,0.000390399,0.0002672991,0.0006434658,0.007497467,0.001381167,0.614141,0.0004531594,0.0007410048,0.09588766],"study_design_scores_gemma":[0.00001380983,0.0004142005,0.9876341,0.00002050485,0.00004374648,0.0002693525,0.001271197,0.001511357,0.008148842,0.0002867893,0.0003584939,0.00002770753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982024,0.0001421375,0.0008420103,0.00002246489,0.00001054223,0.00001464654,0.00004987754,0.000009623206,0.0007061798],"genre_scores_gemma":[0.9989418,0.00008318926,0.0006448135,0.00001532524,0.000005625677,0.000008823455,0.00005728567,0.000006211932,0.0002368145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002156848,"threshold_uncertainty_score":0.004522026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504215011232614,"score_gpt":0.3747310557968365,"score_spread":0.3596889056845104,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}