{"id":"W2056620945","doi":"10.1167/9.8.286","title":"Perceptual asymmetry in stereo-transparency: The role of disparity interpolation","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Asymmetry; Perception; Figure–ground; Interpolation (computer graphics); Stereopsis; Geometry; Mathematics; Computer science; Artificial intelligence; Computer vision; Optics; Physics; Psychology; 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":[0.0006166882,0.0002650882,0.0003441807,0.0003768891,0.0002079786,0.0007274557,0.000467778,0.0003546834,0.001819973],"category_scores_gemma":[0.005414347,0.0002815679,0.000216694,0.0001457552,0.0006908249,0.00138262,0.0008906675,0.0008181129,0.0001324838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949745,"about_ca_system_score_gemma":0.0002613547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003854585,"about_ca_topic_score_gemma":0.0002967239,"domain_scores_codex":[0.9995097,0.0001003406,0.00002917356,0.0000679821,0.0002322305,0.00006058806],"domain_scores_gemma":[0.9973341,0.001245924,0.000463035,0.0004721217,0.0002692496,0.0002155353],"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":[0.0005250677,0.00003205464,0.001696131,0.0000653229,0.000009919748,0.00009348341,0.000087045,0.001060729,0.9853396,0.002519458,0.00004104988,0.00853029],"study_design_scores_gemma":[0.0001769259,0.0009205066,0.2042844,0.00005779191,0.00008964953,0.0019801,0.0002256763,0.05629526,0.7112535,0.0231876,0.001439926,0.00008870816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629752,0.0002081068,0.03259093,0.0001537879,0.00002319575,0.00003108579,0.00005539956,0.00009508977,0.003867163],"genre_scores_gemma":[0.9960305,0.00004335399,0.003681017,0.00002122565,0.000005090231,0.000007808524,0.00002368007,0.00001710245,0.0001700925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001819973,"threshold_uncertainty_score":0.006088376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694998296146569,"score_gpt":0.3327839853290196,"score_spread":0.3058340023675539,"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."}}