{"id":"W2147120387","doi":"10.1167/12.3.16","title":"The relative weight of shape and non-rigid motion cues in object perception: A model of the parameters underlying dynamic object discrimination","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Morphing; Motion (physics); Object (grammar); Computer vision; Similarity (geometry); Artificial intelligence; Perception; Sensory cue; Basis (linear algebra); Computer science; Communication; Psychology; Mathematics; Geometry","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":[0.0007120591,0.0006335865,0.0004926053,0.000662352,0.0002297316,0.001313704,0.000837888,0.0009285516,0.001973026],"category_scores_gemma":[0.003003369,0.000493946,0.0006928566,0.0003655484,0.00105635,0.002310224,0.0008434356,0.0006267907,0.0005764326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543177,"about_ca_system_score_gemma":0.0003144188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099916,"about_ca_topic_score_gemma":0.0008222841,"domain_scores_codex":[0.9997537,0.00004741794,0.000008568059,0.00008200503,0.00006512391,0.00004331478],"domain_scores_gemma":[0.9992644,0.0003689017,0.0001054222,0.00009516985,0.00008333088,0.00008270472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001143928,0.0002822286,0.009832455,0.0003464539,0.0001686287,0.0002701309,0.0005875775,0.09749966,0.7666545,0.03709232,0.0006098039,0.08551221],"study_design_scores_gemma":[0.00007579423,0.0003580819,0.02462359,0.00002323475,0.00008610162,0.0003151119,0.0001172295,0.9042206,0.02527591,0.04420029,0.0006242126,0.00007989037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7085668,0.0008501815,0.2813023,0.0007248948,0.00008314218,0.00008960677,0.0001065155,0.0002340351,0.008042489],"genre_scores_gemma":[0.9853545,0.0002756882,0.01315594,0.00007495152,0.00002086004,0.00003744708,0.00004175835,0.00003751643,0.001001209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001973026,"threshold_uncertainty_score":0.00660044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06417361825941328,"score_gpt":0.3364948314365013,"score_spread":0.272321213177088,"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."}}