{"id":"W4410086127","doi":"10.1080/21640629.2025.2497208","title":"10 considerations for athlete selection: A resource and guide for researchers and practitioners","year":2025,"lang":"en","type":"article","venue":"Sports Coaching Review","topic":"Sports Performance and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Resource (disambiguation); Psychology; Management science; Computer science; Applied psychology; Engineering; Artificial intelligence","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":[0.09990331,0.002336377,0.004029597,0.0167864,0.004191093,0.01381544,0.006408006,0.009129143,0.02769831],"category_scores_gemma":[0.2402236,0.00208349,0.003443224,0.01540812,0.005215436,0.02386406,0.009767789,0.01139521,0.01988201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00740114,"about_ca_system_score_gemma":0.04980765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008778241,"about_ca_topic_score_gemma":0.03187276,"domain_scores_codex":[0.9175419,0.05004178,0.02003156,0.001594292,0.009206921,0.001583636],"domain_scores_gemma":[0.7316383,0.1695586,0.01724247,0.008077016,0.0658535,0.007630089],"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":[0.00007804614,0.0001180093,0.0008247066,0.01968182,0.00005614696,0.0004652299,0.01048363,0.0001927982,0.0003196884,0.02100922,0.7541299,0.1926408],"study_design_scores_gemma":[0.00005685734,0.0000804501,0.0007461489,0.06445602,0.00005290506,0.0006328699,0.01143863,0.0001589146,0.00009749354,0.01639252,0.9057956,0.00009164018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002340965,0.279357,0.04490255,0.5729672,0.02489497,0.01508373,0.005725793,0.00171913,0.05300878],"genre_scores_gemma":[0.01343364,0.3384512,0.4260736,0.1234066,0.01003198,0.04553174,0.006041951,0.0007244489,0.03630479],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09990331,"threshold_uncertainty_score":0.5283455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0689313998881796,"score_gpt":0.3872393424814226,"score_spread":0.318307942593243,"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."}}