{"id":"W2917023845","doi":"10.2478/pcssr-2018-0023","title":"Talent Selection and Management in View of Relative Age: the Case of Swimming","year":2018,"lang":"en","type":"article","venue":"Physical Culture and Sport Studies and Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dominance (genetics); Test (biology); Quarter (Canadian coin); Talent management; Descriptive statistics; Selection (genetic algorithm); Psychology; Population; Applied psychology; Operations management; Demography; Marketing; Statistics; Computer science; Business; Engineering; Geography; Mathematics; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601296,0.0001484466,0.0002724319,0.001978842,0.00170876,0.00137746,0.0005106959,0.0004961762,0.004254407],"category_scores_gemma":[0.005048884,0.0001057379,0.0002825519,0.001572521,0.00108007,0.0007840784,0.001367647,0.0004353561,0.0002009612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481929,"about_ca_system_score_gemma":0.001640691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935552,"about_ca_topic_score_gemma":0.017536,"domain_scores_codex":[0.9988391,0.0006096798,0.00005021529,0.00009058246,0.0001092881,0.0003011541],"domain_scores_gemma":[0.9974957,0.001189929,0.0005369133,0.000107607,0.0002424907,0.0004273469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002410738,0.0003152509,0.8998894,0.0001078299,0.0000645687,0.01614465,0.02246597,0.0008364273,0.0004525879,0.01500531,0.0008879518,0.04358903],"study_design_scores_gemma":[0.00001477104,0.0002031509,0.9052874,0.0001451017,0.00008179009,0.005139633,0.07555073,0.003492261,0.000349881,0.004791297,0.00491059,0.0000332921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950504,0.0003141597,0.0003256787,0.0004677677,0.000007542526,0.000008395925,0.00004099309,0.000001940983,0.003783125],"genre_scores_gemma":[0.9993995,0.0001027906,0.0001282253,0.00001270029,0.000004756726,0.000003822845,0.00001449216,5.670252e-7,0.0003330569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01935552,"threshold_uncertainty_score":0.03848571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08754798312921687,"score_gpt":0.4394103460863263,"score_spread":0.3518623629571094,"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."}}