{"id":"W2170716145","doi":"10.1097/wnr.0b013e328353e48a","title":"Perceptual-cognitive training improves biological motion perception","year":2012,"lang":"en","type":"article","venue":"Neuroreport","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Biological motion; Psychology; Cognition; Task (project management); Visual perception; Cognitive psychology; Cognitive training; Motion perception; Neuroscience","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000367418,0.0002003342,0.000176579,0.00009855687,0.0002823094,0.00006826231,0.0001105265,0.0001377247,0.001094614],"category_scores_gemma":[0.0009284334,0.0001673869,0.0001034737,0.0002203044,0.0001484873,0.0005742394,0.00005494517,0.0002763329,0.0005946498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000298014,"about_ca_system_score_gemma":0.00002853069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000319321,"about_ca_topic_score_gemma":2.503861e-7,"domain_scores_codex":[0.9982098,0.0001889606,0.0003154133,0.0004866564,0.000319241,0.0004799174],"domain_scores_gemma":[0.9993582,0.0000862674,0.0001495583,0.0001520259,0.00004478243,0.0002091616],"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":[0.00002211706,0.0001179182,0.001093562,0.000005693216,9.995176e-7,0.00001261259,0.003687928,4.142815e-7,0.9056085,0.0002853558,0.00006196841,0.08910295],"study_design_scores_gemma":[0.001373537,0.001311943,0.6157399,0.00009322234,0.00007490471,0.003084761,0.01330011,0.001241034,0.3529106,0.002462931,0.006888097,0.001518941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851016,0.000007167956,0.003287764,0.000104492,0.0008868619,0.0002017088,0.000005065135,0.0003636622,0.01004169],"genre_scores_gemma":[0.9957471,0.00002607515,0.0002602847,0.002866591,0.0004592851,0.00003122707,0.00001578209,0.00002854704,0.0005651155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146463,"threshold_uncertainty_score":0.9998185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153335250848168,"score_gpt":0.3629978866273819,"score_spread":0.1476643615425651,"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."}}