{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973447,0.0003318467,0.0002147032,0.0003074598,0.0002407572,0.0005734015,0.0001947645,0.0003975688,0.007855673],"category_scores_gemma":[0.001956368,0.0002424597,0.000140411,0.0001335926,0.0005979654,0.0004078411,0.0006432288,0.0004916413,0.001407004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007491678,"about_ca_system_score_gemma":0.0001995099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192573,"about_ca_topic_score_gemma":0.001913531,"domain_scores_codex":[0.999736,0.00001702478,0.00001913281,0.00005703476,0.00009219832,0.00007850534],"domain_scores_gemma":[0.9982811,0.0004380355,0.0004071101,0.0002182551,0.0002300192,0.0004255063],"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":[0.001128481,0.002052134,0.2544431,0.0009985083,0.0001496241,0.001582157,0.01141111,0.0008448114,0.5172241,0.001881061,0.005789376,0.2024955],"study_design_scores_gemma":[0.00003310904,0.00225326,0.9657052,0.00006723716,0.00004199617,0.002977006,0.002500008,0.0007940882,0.01678638,0.001113238,0.007696523,0.00003198485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922959,0.0002768857,0.001034055,0.00008742983,0.00001604488,0.00002406954,0.0001185783,0.00006094756,0.00608608],"genre_scores_gemma":[0.9922098,0.0004170937,0.002094252,0.00007061485,0.00001989198,0.00001967302,0.0002498495,0.00002467893,0.004894245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007855673,"threshold_uncertainty_score":0.02627987,"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."}}