{"id":"W1588191683","doi":"10.3968/4252","title":"Designing Template for Talent Identification and Development in Sport","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Sports Performance and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Identification (biology); Talent development; Business; Talent management; Computer science; Knowledge management; Marketing; Psychology; Public relations; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002673496,0.0007207855,0.0004291747,0.002520846,0.001263848,0.002212701,0.001623922,0.001409002,0.01235409],"category_scores_gemma":[0.01099939,0.0005122735,0.0009756381,0.001433953,0.001083982,0.002559714,0.002250045,0.0008141878,0.005729144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056314,"about_ca_system_score_gemma":0.002473845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946813,"about_ca_topic_score_gemma":0.002554888,"domain_scores_codex":[0.9973682,0.0009664665,0.0003777646,0.0004838726,0.0005829445,0.0002208625],"domain_scores_gemma":[0.9957525,0.001681392,0.0003064279,0.0008101348,0.001114217,0.0003353684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003332655,0.0006725783,0.01887328,0.001442292,0.00005636006,0.002210435,0.01603932,0.01008769,0.02035467,0.1699554,0.03923109,0.7207436],"study_design_scores_gemma":[0.000153916,0.001000631,0.02030986,0.001197026,0.0002010091,0.00409603,0.01115058,0.1408254,0.05606893,0.1353256,0.6293438,0.0003271623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03648896,0.0003341683,0.8929468,0.001478953,0.0004907708,0.003008235,0.001151989,0.004492061,0.05960809],"genre_scores_gemma":[0.1218279,0.0003094426,0.8535635,0.0002257844,0.00005318832,0.002504922,0.001620007,0.0003672715,0.019528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01235409,"threshold_uncertainty_score":0.04132849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689290803851957,"score_gpt":0.3423049427639406,"score_spread":0.305412034725421,"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."}}