{"id":"W2955326289","doi":"10.22215/etd/2015-10949","title":"Three Essays on the Labour Market Implications of Youth Training Programs and Institutional Changes in Professional Sports","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spell; League; Endogeneity; Regression discontinuity design; Demographic economics; Test (biology); Promotion (chess); Labour economics; Political science; Economics; Accounting; Marketing; Business; Econometrics; Sociology; Statistics; Mathematics; Law","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":[0.001616807,0.0003438504,0.0002319271,0.0009166708,0.001618501,0.003055874,0.0007136937,0.001616872,0.008374393],"category_scores_gemma":[0.006359299,0.0001236602,0.0005563529,0.001530535,0.002345307,0.001795308,0.001976972,0.002357001,0.001426376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650152,"about_ca_system_score_gemma":0.001485468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765272,"about_ca_topic_score_gemma":0.00242061,"domain_scores_codex":[0.9993698,0.0001606578,0.00003175534,0.0000803275,0.0002284227,0.0001290123],"domain_scores_gemma":[0.9948236,0.003298502,0.0005612902,0.0002110641,0.0006313398,0.000474223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001214426,0.0003684337,0.008998407,0.0005729174,0.00003429107,0.0003402905,0.007744921,0.001343178,0.0006913191,0.4165201,0.4331261,0.1301387],"study_design_scores_gemma":[0.00002618752,0.00009672557,0.01748962,0.001069013,0.00002171488,0.0001972114,0.00684822,0.0004502837,0.000563547,0.1094707,0.8637373,0.00002949505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08828822,0.05667457,0.01374534,0.4701327,0.02294756,0.0001785648,0.0008833333,0.00009601174,0.3470536],"genre_scores_gemma":[0.4518954,0.08639415,0.005871044,0.05574677,0.02848246,0.000466175,0.0008433262,0.0001671034,0.3701336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008374393,"threshold_uncertainty_score":0.02801514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08238265026755977,"score_gpt":0.2706397189043053,"score_spread":0.1882570686367455,"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."}}