{"id":"W4249264933","doi":"10.36950/2018ciss006","title":"Innate talent in sport","year":2018,"lang":"en","type":"article","venue":"Current Issues in Sport Science (CISS)","topic":"Sports Performance and Training","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Value (mathematics); Domain (mathematical analysis); Computer science; Biology","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":[0.00199961,0.0004597597,0.0008615206,0.003150662,0.0009436741,0.003190933,0.0009324289,0.001245431,0.005300544],"category_scores_gemma":[0.003559254,0.0001542686,0.0005309618,0.002117999,0.004390285,0.002590605,0.002829696,0.001345093,0.0005678269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932848,"about_ca_system_score_gemma":0.002428167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004307512,"about_ca_topic_score_gemma":0.005385863,"domain_scores_codex":[0.9991692,0.0002683766,0.00007748952,0.0001273829,0.0002386791,0.0001188088],"domain_scores_gemma":[0.9981364,0.001094593,0.0002393964,0.00006178407,0.000317626,0.0001502587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001737289,0.0001505409,0.01805796,0.01378642,0.0002776972,0.0007585982,0.007824712,0.001156395,0.001395125,0.1368288,0.01102639,0.8085636],"study_design_scores_gemma":[0.00003869909,0.0007413648,0.2072963,0.02926257,0.000359669,0.005062616,0.01431684,0.001019342,0.001894036,0.2150711,0.5247214,0.0002160327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0405478,0.8973441,0.004515129,0.01102509,0.001397438,0.00005704659,0.000132079,0.00002708461,0.04495421],"genre_scores_gemma":[0.4630651,0.5196573,0.003250028,0.004716454,0.001242219,0.00008439164,0.0001961235,0.00001369548,0.007774805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005300544,"threshold_uncertainty_score":0.01773208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986771972347253,"score_gpt":0.3803882436306017,"score_spread":0.3405205239071292,"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."}}