{"id":"W4307686968","doi":"","title":"The correlation between climate and professional soccer player production in Canada.","year":2021,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Correlation; Geography; Mathematics; Economics","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":[0.0004362117,0.0001664436,0.0001352868,0.001397567,0.0007361128,0.0007160239,0.0002937831,0.0001099305,0.002069628],"category_scores_gemma":[0.001769704,0.0001146407,0.0002047483,0.002535447,0.0003657966,0.0001646569,0.0003815122,0.0001672563,0.0001695551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826384,"about_ca_system_score_gemma":0.007039809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9213934,"about_ca_topic_score_gemma":0.9653058,"domain_scores_codex":[0.9995373,0.00004261557,0.0000198612,0.00006827792,0.0002282948,0.0001036195],"domain_scores_gemma":[0.998702,0.0001277008,0.0002669855,0.00004062434,0.000625462,0.0002370075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005661375,0.000009382039,0.9889863,0.00002812386,0.00003844619,0.000082001,0.0003002096,0.0002731269,0.0005299288,0.0001261168,0.0005619844,0.009007895],"study_design_scores_gemma":[3.401709e-7,0.000005078753,0.998946,0.000003896935,0.000005014713,0.00002305639,0.0002573824,0.00009427455,0.00004097285,0.00001286255,0.0006092188,0.000001924413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830976,0.001021925,0.0006217142,0.0002389514,0.00001895238,0.00002142062,0.003859526,0.00002447944,0.0110953],"genre_scores_gemma":[0.9971895,0.0004012775,0.0003349737,0.00001780311,0.000004186436,0.000005225366,0.0008710693,0.000004355622,0.001171607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07860661,"threshold_uncertainty_score":0.1581391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1955219985136862,"score_gpt":0.5260599318638385,"score_spread":0.3305379333501522,"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."}}