{"id":"W4402904606","doi":"10.1167/jov.24.10.758","title":"Biases in Perceived Object Speed in Depth During Visual Self-Motion  ","year":2024,"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":"Motion (physics); Object (grammar); Computer science; Computer vision; Cognitive psychology; Artificial intelligence; Psychology","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":[0.0006605866,0.0002663707,0.0002203396,0.0003455509,0.0001669246,0.0009021139,0.000242026,0.0003534956,0.00158263],"category_scores_gemma":[0.00669717,0.0002836193,0.0001915785,0.000150344,0.000379369,0.0009534536,0.0007385376,0.0003172044,0.0001547241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024298,"about_ca_system_score_gemma":0.0001685563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136877,"about_ca_topic_score_gemma":0.001208913,"domain_scores_codex":[0.9995167,0.00007442368,0.00003010237,0.000169898,0.0001546433,0.00005417884],"domain_scores_gemma":[0.9985414,0.0005374964,0.0004174877,0.0001799894,0.0002282161,0.00009557732],"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":[0.001988176,0.0001153567,0.07431909,0.0003232869,0.0001045979,0.0001306998,0.003206828,0.001348378,0.878442,0.001052281,0.0003071346,0.03866217],"study_design_scores_gemma":[0.00004994281,0.0005869056,0.9391162,0.0000429471,0.00009729093,0.0003008747,0.000651033,0.005356191,0.05164102,0.001322875,0.0007769383,0.00005777263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956965,0.00008583103,0.002994166,0.0000129082,0.00000753803,0.00001602557,0.00005310806,0.00002629007,0.001107539],"genre_scores_gemma":[0.997197,0.0000515205,0.002293982,0.00001727751,0.000003503781,0.00001494826,0.0000706117,0.0000265882,0.0003246739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00158263,"threshold_uncertainty_score":0.005294383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05246375540960947,"score_gpt":0.3756340717168951,"score_spread":0.3231703163072857,"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."}}