{"id":"W4311801061","doi":"10.1167/jov.22.14.4471","title":"The role of attention in apparent motion","year":2022,"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":"Université de Montréal","funders":"","keywords":"Motion perception; Computer vision; Artificial intelligence; Perception; Receptive field; Computer science; Offset (computer science); Orientation (vector space); Motion (physics); Physics; Communication; Psychology; Mathematics; 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":[0.0004795534,0.000262918,0.0002189428,0.000342139,0.0002074746,0.0005842335,0.0003422132,0.0004786582,0.0008023262],"category_scores_gemma":[0.002728506,0.0002187324,0.0002068005,0.0001209325,0.0006467168,0.001006769,0.0005475899,0.0003232182,0.00008728707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486612,"about_ca_system_score_gemma":0.0002588866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003197,"about_ca_topic_score_gemma":0.0008259038,"domain_scores_codex":[0.9997355,0.00008201582,0.00001296908,0.00006160401,0.00005109432,0.00005672148],"domain_scores_gemma":[0.9986889,0.0008275055,0.000166035,0.00009901894,0.0001012595,0.0001171699],"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":[0.0006683269,0.00007880528,0.006310255,0.0001265032,0.00002100075,0.0001802621,0.0002923608,0.001193915,0.9548947,0.003389367,0.00008031285,0.0327642],"study_design_scores_gemma":[0.0002619876,0.001879256,0.6430536,0.00009488554,0.0001980801,0.0008708789,0.0003896177,0.03859467,0.2911214,0.02078523,0.002632527,0.0001179205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818338,0.000975701,0.01359562,0.0001759217,0.00002375267,0.00002110266,0.00002249201,0.00004439767,0.003307239],"genre_scores_gemma":[0.9978934,0.0001855436,0.001505273,0.00004030465,0.00001818644,0.00001278134,0.00001503092,0.000007673118,0.0003219169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003197,"threshold_uncertainty_score":0.003980815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471658516965449,"score_gpt":0.3371241618201092,"score_spread":0.3024075766504547,"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."}}