{"id":"W2948795273","doi":"","title":"The developmental pathways of major league baseball players and their influence on career performance","year":2018,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario Tech University","funders":"","keywords":"League; Milestone; Athletes; Psychology; Career development; Institution; Applied psychology; Medical education; Social psychology; Political science; Medicine; Physical therapy; Geography; Law; Cartography","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":[0.0006744997,0.0002219564,0.0001410929,0.001172001,0.000379995,0.0007025995,0.0003208857,0.0001979612,0.001892714],"category_scores_gemma":[0.001929961,0.0001765949,0.0001780983,0.0009263195,0.0001912115,0.0002381992,0.0006848364,0.0003775256,0.000363871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750392,"about_ca_system_score_gemma":0.0006343077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02823846,"about_ca_topic_score_gemma":0.07362358,"domain_scores_codex":[0.9995971,0.00008986,0.00003318488,0.00008506249,0.000093964,0.0001008498],"domain_scores_gemma":[0.9986603,0.0002470461,0.0004230109,0.00005606588,0.000212495,0.0004011115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005913149,0.00004056749,0.9961237,0.000004186328,0.000011203,0.00004832569,0.0003483072,0.00004010802,0.0002415492,0.00002771152,0.00006427404,0.002991015],"study_design_scores_gemma":[5.165388e-7,0.0000383162,0.9991449,0.000002930444,0.000002347998,0.00003828132,0.0004982684,0.00006890381,0.00005931395,0.000008577119,0.0001364554,0.000001202752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992446,0.00003748249,0.00002926406,0.00001565662,0.000001118978,0.000003622157,0.0003030865,0.000001114105,0.0003641831],"genre_scores_gemma":[0.9984943,0.0000551179,0.00006611776,0.00000485257,0.000001556405,0.000005932161,0.0007542518,0.000001312807,0.0006166127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02823846,"threshold_uncertainty_score":0.05614817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898452231722602,"score_gpt":0.1979977506170492,"score_spread":0.1790132282998232,"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."}}