{"id":"W2595670078","doi":"","title":"Geography of Canadian sporting excellence: Does the location of national training centres influence likelihood of being an elite athlete?","year":2016,"lang":"en","type":"article","venue":"","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; York University","funders":"","keywords":"Athletes; Excellence; Elite; Coaching; Geography; Census; Elite athletes; Training (meteorology); Demography; Political science; Psychology; Medicine; Population; Physical therapy; Sociology","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":[0.001284113,0.0002930893,0.000461995,0.001932833,0.00309339,0.002379397,0.002058411,0.000629305,0.003638237],"category_scores_gemma":[0.008352274,0.0002741678,0.0007736728,0.004310095,0.002417944,0.0008672369,0.0019848,0.0008773245,0.0002822094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01622319,"about_ca_system_score_gemma":0.02674137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887031,"about_ca_topic_score_gemma":0.9936538,"domain_scores_codex":[0.9986003,0.0001815281,0.00008080372,0.0002439282,0.0004537157,0.000439788],"domain_scores_gemma":[0.9949653,0.00048546,0.001243617,0.0002353848,0.001605175,0.001465078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002492628,0.000009180269,0.9932647,0.000034296,0.00004666939,0.00005912834,0.001250196,0.00008174968,0.0000380059,0.0002687752,0.0006473961,0.004274781],"study_design_scores_gemma":[0.000001273908,0.000008165666,0.995675,0.00005155748,0.00002193926,0.00002654939,0.003217019,0.0001106684,0.00001424726,0.00006351218,0.0008026142,0.000007341292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813246,0.002973842,0.0004253895,0.003345115,0.00005774314,0.0000432826,0.002362785,0.00001691924,0.009450188],"genre_scores_gemma":[0.9977134,0.00091519,0.000210682,0.0001000995,0.00001108546,0.000007081876,0.0004831364,0.000006671869,0.0005526309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622319,"threshold_uncertainty_score":0.117708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135939022700699,"score_gpt":0.2819941644526989,"score_spread":0.2606347742256919,"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."}}