{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407788,0.0002220393,0.0004360618,0.0008212711,0.0001199792,0.00003616495,0.0003970636,0.00006709711,0.0004205453],"category_scores_gemma":[0.00003410721,0.0001922434,0.00005551604,0.002054528,0.001119745,0.0006322012,0.0001314947,0.0003717601,0.0002626712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820773,"about_ca_system_score_gemma":0.0003685622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067903,"about_ca_topic_score_gemma":0.00007858637,"domain_scores_codex":[0.9971485,0.000001572343,0.0005903303,0.0006576152,0.0008438448,0.000758097],"domain_scores_gemma":[0.9989418,0.000003334483,0.0001298543,0.000539444,0.0001594883,0.0002260834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006109648,0.0002225562,0.9731424,0.00003789753,0.000001616559,0.0001688875,0.002562219,0.000005006711,0.0001257385,0.0004705798,0.000155127,0.02304684],"study_design_scores_gemma":[0.0007878885,0.0001725117,0.9061471,0.0006168094,0.000009590917,0.00005048091,0.0006418211,0.0005768312,0.002034781,0.00009106872,0.08864271,0.0002283569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896695,0.0009415674,0.000003156958,0.0002446201,0.001594479,0.0003558428,0.000001081946,0.00006637695,0.007123379],"genre_scores_gemma":[0.9979865,0.000478278,0.0003109571,0.0001573288,0.0005066989,0.00002260574,0.0000189518,0.00001688825,0.0005018217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08848758,"threshold_uncertainty_score":0.7839459,"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."}}