{"id":"W4379930237","doi":"10.36950/2023.1ciss008","title":"Talent inclusion and genetic testing in sport: A practitioner’s guide","year":2023,"lang":"en","type":"article","venue":"Current Issues in Sport Science (CISS)","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Genetic testing; Inclusion (mineral); Athletes; Appeal; Promotion (chess); Identification (biology); Selection (genetic algorithm); Best practice; Psychology; Political science; Biology; Genetics; Computer science; Medicine; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.027018,0.002072434,0.002786901,0.01333644,0.002367929,0.005269649,0.005617391,0.01080163,0.0158082],"category_scores_gemma":[0.05621079,0.001365023,0.001910584,0.006839469,0.005112203,0.009298269,0.006288349,0.01433106,0.01243634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004935699,"about_ca_system_score_gemma":0.01911963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134056,"about_ca_topic_score_gemma":0.02944885,"domain_scores_codex":[0.9847063,0.007599136,0.003556615,0.000704761,0.002920762,0.0005123569],"domain_scores_gemma":[0.9392083,0.03586869,0.00269282,0.001380298,0.01702058,0.003829368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005094678,0.0004389542,0.001524211,0.008146452,0.00004194385,0.001001319,0.005927475,0.0004820773,0.0004165682,0.01353558,0.6444436,0.3239908],"study_design_scores_gemma":[0.00007139838,0.0001628968,0.002729628,0.03530976,0.00004761236,0.003668013,0.008327885,0.0005575595,0.0001375737,0.03771422,0.9111595,0.0001140593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001646715,0.1894179,0.0518086,0.7044901,0.01258846,0.004336778,0.002029671,0.0009649253,0.03271681],"genre_scores_gemma":[0.01813306,0.3824393,0.3028587,0.2311215,0.01047299,0.01179515,0.002279879,0.0004717539,0.04042766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.027018,"threshold_uncertainty_score":0.1428865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458726316099736,"score_gpt":0.3403897877288634,"score_spread":0.3158025245678661,"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."}}