{"id":"W2043309883","doi":"10.1068/p7568","title":"Stereo and Shading Contribute Independently to Shape Convexity-Concavity Discrimination","year":2014,"lang":"en","type":"article","venue":"Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Convexity; Stereopsis; Regular polygon; Artificial intelligence; Computer vision; Perception; Ambiguity; Shading; Binocular disparity; Depth perception; Mathematics; Computer science; Psychology; Geometry; Computer graphics (images); Economics; 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":[0.0004380888,0.0003280725,0.0003500165,0.0004949956,0.0001876061,0.0005677225,0.0002909734,0.000300795,0.001826807],"category_scores_gemma":[0.004448783,0.0004106534,0.0003184911,0.0001953457,0.0004444096,0.0006036165,0.0008740549,0.0004055034,0.0002397216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079975,"about_ca_system_score_gemma":0.0003216343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009494459,"about_ca_topic_score_gemma":0.001456485,"domain_scores_codex":[0.9995756,0.0001032734,0.00001741277,0.00005207097,0.000185887,0.00006585327],"domain_scores_gemma":[0.9979047,0.001157828,0.0003224976,0.0001465253,0.0003004065,0.0001680716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001291124,0.00005163455,0.0278436,0.0001315326,0.00005273799,0.0002646104,0.0004018813,0.0010523,0.9190734,0.001219885,0.0001382075,0.04847917],"study_design_scores_gemma":[0.0001127769,0.0006826139,0.7541664,0.00005111506,0.0002178298,0.001423571,0.0007165426,0.03224643,0.2037618,0.005194621,0.001338934,0.00008733093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870331,0.0001813372,0.00841342,0.00004704994,0.000009176004,0.00001780918,0.0000254555,0.00003511408,0.004237527],"genre_scores_gemma":[0.9975435,0.00007499595,0.002060056,0.00001692856,0.000007568711,0.000005113448,0.00002978797,0.00001721359,0.0002446877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826807,"threshold_uncertainty_score":0.006111205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604134627701875,"score_gpt":0.3266133217992961,"score_spread":0.2705719755222774,"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."}}