{"id":"W2579390365","doi":"","title":"The Relative Age Effect Reversal among NHL Elite","year":2016,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Elite; Demography; Quarter (Canadian coin); Athletes; Elite athletes; Demographic economics; Geography; Medicine; Political science; Economics; Sociology; Physical therapy","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":[0.001243602,0.0001401446,0.0003831601,0.0008346277,0.0004204505,0.0006310915,0.0003640241,0.0003301669,0.01317744],"category_scores_gemma":[0.004604482,0.0001097932,0.0003012866,0.0005495931,0.0003593882,0.0004265375,0.001028545,0.0006124387,0.001586053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611804,"about_ca_system_score_gemma":0.0003747726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009636687,"about_ca_topic_score_gemma":0.01795786,"domain_scores_codex":[0.9991001,0.0001400506,0.00005831556,0.0002613677,0.0001592494,0.0002808784],"domain_scores_gemma":[0.9967498,0.0006529681,0.001226943,0.0004191469,0.0004832188,0.0004679606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003477513,0.0000854659,0.9643048,0.00005521567,0.00009072897,0.0001255193,0.0007166869,0.0001145147,0.00111436,0.0008745538,0.002741731,0.02942858],"study_design_scores_gemma":[0.000004629065,0.00006461736,0.9975091,0.00001064098,0.00001237892,0.00004212937,0.0003597341,0.0000474655,0.0001592744,0.0001604023,0.001627739,0.000001915711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896606,0.0005882421,0.0004238494,0.0005703755,0.00006961298,0.00001232357,0.001338224,0.00002041489,0.007316329],"genre_scores_gemma":[0.9949596,0.00008307816,0.00005822606,0.0001411169,0.00003085199,0.000006002267,0.0006454775,0.000007003455,0.004068608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317744,"threshold_uncertainty_score":0.044083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07665249659703602,"score_gpt":0.3280780660604626,"score_spread":0.2514255694634266,"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."}}