{"id":"W2886222135","doi":"10.1177/1012690218789045","title":"It’s cold and there’s something to do: The changing geography of Canadian National Hockey League players’ hometowns","year":2018,"lang":"en","type":"article","venue":"International Review for the Sociology of Sport","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"League; Census; Geography; Odds; Population; Demographic economics; Demography; Cartography; Advertising; Socioeconomics; Political science; Sociology; Medicine; Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362895,0.0003381449,0.0004879601,0.004699809,0.00495278,0.004111714,0.002056189,0.0005201533,0.004113887],"category_scores_gemma":[0.004509468,0.0003004456,0.000475492,0.01067075,0.004754606,0.001700196,0.002303926,0.0009207337,0.0002374754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04956306,"about_ca_system_score_gemma":0.04337892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964364,"about_ca_topic_score_gemma":0.9982966,"domain_scores_codex":[0.998689,0.000121159,0.00003143737,0.0002127192,0.0005029676,0.0004427346],"domain_scores_gemma":[0.9973732,0.0002412111,0.0003764054,0.0000977517,0.001330386,0.0005810697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001513055,0.00007360215,0.7497486,0.0008357287,0.0002742327,0.0008950576,0.08127468,0.0007977922,0.0004479934,0.02159524,0.03204767,0.111858],"study_design_scores_gemma":[0.000005097263,0.00001717382,0.9050484,0.0004978923,0.00005858077,0.00009697451,0.0581354,0.0001667988,0.0001027343,0.0006740744,0.03513992,0.00005701462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991894,0.02995907,0.0008837307,0.01576987,0.0004135757,0.0000705308,0.006815454,0.00003322001,0.04686519],"genre_scores_gemma":[0.9836962,0.01119093,0.0003388239,0.0004510887,0.00003559545,0.00001567624,0.001046971,0.00001884382,0.003205807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04956306,"threshold_uncertainty_score":0.3596069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862040460924025,"score_gpt":0.3682442512367447,"score_spread":0.3096238466275045,"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."}}