{"id":"W2548186105","doi":"10.1177/056943451205700105","title":"Does Player Mobility Lead to Higher Earnings? Evidence from the Nhl","year":2012,"lang":"en","type":"article","venue":"The American Economist","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Earnings; League; Agency (philosophy); Demographic economics; Economics; Labour economics; Business; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009909627,0.0001838509,0.0004053236,0.00003819155,0.0002581942,0.0001248747,0.0006533479,0.0000282663,0.00243752],"category_scores_gemma":[0.00009341397,0.0001001389,0.0001330055,0.0001902041,0.0003105376,0.0003048537,0.0001445563,0.0002042066,0.002984142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124824,"about_ca_system_score_gemma":0.00001584751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204011,"about_ca_topic_score_gemma":0.0002069464,"domain_scores_codex":[0.9986597,0.00002142379,0.00047813,0.0003612769,0.00003406138,0.0004453755],"domain_scores_gemma":[0.9980844,0.0003307083,0.0005199938,0.0009345556,0.00001785962,0.0001125271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004247071,0.00004117116,0.9872198,0.000003038017,0.00006531321,2.833159e-7,0.001195451,0.0004020288,0.00001332578,0.003234307,0.00490513,0.002877754],"study_design_scores_gemma":[0.00005768778,0.00002534611,0.6880006,0.000007615987,0.00000805168,3.944535e-7,0.0001650695,0.0005399715,0.00003878612,0.0004915326,0.3104983,0.0001665682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838284,0.001036675,0.0002417346,0.00953829,0.0007762979,0.0001893139,0.0001088935,0.0000288877,0.004251569],"genre_scores_gemma":[0.9893757,0.0002934341,0.0001058862,0.005062802,0.0007357972,0.00004378188,0.000004830276,0.0000250698,0.004352748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3055932,"threshold_uncertainty_score":0.9984744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04838405442185156,"score_gpt":0.2524412266714214,"score_spread":0.2040571722495699,"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."}}