{"id":"W2106925256","doi":"10.1123/tsp.20.2.213","title":"Beyond Winning and Losing: Guidelines for Evaluating High Performance Coaches","year":2006,"lang":"en","type":"article","venue":"The Sport Psychologist","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; Queen's University","funders":"Arizona State University","keywords":"Coaching; Athletes; Psychology; Applied psychology; Performance appraisal; Scale (ratio); Measure (data warehouse); Computer science; Management; Physical therapy; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002368807,0.000339145,0.0003814206,0.0001092451,0.0006262537,0.00004725323,0.0004747474,0.0002666361,0.0004002975],"category_scores_gemma":[0.00004513098,0.0002444198,0.00009416372,0.000260733,0.0007179154,0.0001457206,0.0000495092,0.0003601353,0.0001289986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065795,"about_ca_system_score_gemma":0.00002334145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002384361,"about_ca_topic_score_gemma":0.00002016253,"domain_scores_codex":[0.9976115,0.00004116845,0.0007612362,0.0007203291,0.000218051,0.000647723],"domain_scores_gemma":[0.9983535,0.0001256912,0.0003956586,0.0008328127,0.0002314417,0.00006094346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460255,0.0003131782,0.719019,0.00005767329,0.0001513572,0.00002232747,0.0007551176,0.0002807491,0.0007848574,0.05239057,0.162929,0.06183594],"study_design_scores_gemma":[0.002009302,0.0005190563,0.9267569,0.00004556095,0.0001059872,0.0002569404,0.0005757511,0.000370512,0.0001827718,0.005409222,0.06331152,0.0004565262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525203,0.001729024,0.0004506129,0.005648097,0.002203339,0.000613458,0.00002017478,0.000180895,0.03663406],"genre_scores_gemma":[0.9774913,0.00004613406,0.003824042,0.004185562,0.001185421,0.0002179071,0.00009773109,0.00005196851,0.01289989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077378,"threshold_uncertainty_score":0.9967149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388309587619234,"score_gpt":0.4250358634848775,"score_spread":0.2862049047229541,"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."}}