{"id":"W2055508609","doi":"10.1038/srep01154","title":"Professional athletes have extraordinary skills for rapidly learning complex and neutral dynamic visual scenes","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amateur; Athletes; Perception; Cognition; Cognitive psychology; Psychology; Context (archaeology); Motor skill; Elite athletes; Task (project management); Visual perception; Applied psychology; Computer science; Developmental psychology; Medicine; Neuroscience; Engineering; Physical therapy","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":[0.001078389,0.0002005961,0.0002493778,0.0001846261,0.0007725991,0.000125037,0.0001218704,0.0001813492,0.003373121],"category_scores_gemma":[0.00004063921,0.0001728268,0.00009644862,0.0001628437,0.0005856325,0.0002651591,0.00005759273,0.0002562543,0.0001444945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001538183,"about_ca_system_score_gemma":0.00004751372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002163697,"about_ca_topic_score_gemma":0.00001094264,"domain_scores_codex":[0.9977838,0.00007630671,0.0004974842,0.000925766,0.0001724506,0.000544125],"domain_scores_gemma":[0.998875,0.000110342,0.0003120255,0.0004121714,0.0001476702,0.0001427905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001474747,0.0008734884,0.6608729,0.000104185,0.0001263212,0.0002836881,0.004569368,0.00003570738,0.04004259,0.0003135677,0.1578635,0.1347672],"study_design_scores_gemma":[0.000577562,0.0002363899,0.923169,0.00006917988,0.00002424168,0.0008891436,0.0009872222,0.0010739,0.000527674,0.004447363,0.06763101,0.0003673285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834512,0.0004505367,0.0001303414,0.0003335159,0.01205412,0.0007715078,0.000003270363,0.00009780884,0.002707661],"genre_scores_gemma":[0.9446337,0.000005333433,0.0006025783,0.000136855,0.0001276691,0.0002480641,0.0001828515,0.00002449047,0.05403849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2622961,"threshold_uncertainty_score":0.9975379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914117383393614,"score_gpt":0.3492333595335627,"score_spread":0.3300921856996265,"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."}}