{"id":"W2013524047","doi":"10.1167/13.12.10","title":"Depth perception from dynamic occlusion in motion parallax: Roles of expansion-compression versus accretion-deletion","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Parallax; Kinetic depth effect; Percept; Accretion (finance); Geology; Depth perception; Perception; Physics; Motion perception; Computer vision; Motion (physics); Computer science; Astrophysics; Astronomy; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003892696,0.0001692144,0.0002930989,0.0003967804,0.0001262791,0.00007225704,0.0002477542,0.0001834896,0.0007861806],"category_scores_gemma":[0.0002863849,0.0001346816,0.0001301289,0.0003017294,0.00005172624,0.001088457,0.00007334832,0.0003223476,0.00009859831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525049,"about_ca_system_score_gemma":0.00004283624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005631166,"about_ca_topic_score_gemma":0.0000343159,"domain_scores_codex":[0.9977344,0.0003337838,0.0007635785,0.0002657508,0.0007182868,0.000184151],"domain_scores_gemma":[0.9986532,0.000171537,0.0006898727,0.0001737604,0.000204086,0.0001075189],"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":[0.0004218113,0.0001881096,0.0002307705,0.00001437667,0.000001448794,0.000004300847,0.0006269894,0.0006666872,0.9188541,0.00001523645,0.0001032085,0.07887292],"study_design_scores_gemma":[0.006805802,0.002714981,0.5613098,0.002043848,0.00004886584,0.00007007031,0.002671137,0.2142987,0.2020493,0.007274123,0.0001811131,0.0005322353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860979,0.00005996831,0.0124639,0.0003123382,0.0007420765,0.0001732674,0.000004011097,0.00002273245,0.0001238158],"genre_scores_gemma":[0.9975598,0.0004668971,0.001719661,0.0001027536,0.00008666074,0.000002048201,0.00001162987,0.00001865562,0.00003193321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7168049,"threshold_uncertainty_score":0.8608126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208365717151105,"score_gpt":0.333724467174255,"score_spread":0.301640810002744,"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."}}