{"id":"W3194614598","doi":"10.24275/uam/cua/dcsh/esp/2020v10n2/celis","title":"Mexican baseball as a space productor: Weight of the elite in a sport","year":2020,"lang":"en","type":"article","venue":"Espacialidades","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seniority; Elite; Space (punctuation); Geography; Political science; Sociology; Demographic economics; Economics; Law; Politics; Linguistics","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":[0.0006925892,0.0003779985,0.0002431162,0.001295471,0.002470096,0.003099861,0.0005784844,0.0005610288,0.01363065],"category_scores_gemma":[0.0008657393,0.0001572151,0.0002375714,0.001057352,0.001185006,0.0007100165,0.002045371,0.0006889793,0.0006495264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481516,"about_ca_system_score_gemma":0.0006320923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04122767,"about_ca_topic_score_gemma":0.09623139,"domain_scores_codex":[0.9995338,0.0001150865,0.00001325758,0.00004343853,0.0001224806,0.0001720555],"domain_scores_gemma":[0.9996383,0.0000310908,0.00008705065,0.00001141628,0.0000522087,0.0001799482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004240945,0.0006068276,0.7922541,0.0003924484,0.0001510461,0.001870495,0.05024118,0.0001068744,0.002998037,0.006538431,0.01059255,0.1338238],"study_design_scores_gemma":[0.00001345396,0.0001569022,0.8144195,0.0002514737,0.00005662927,0.0003611795,0.1482065,0.0001379941,0.0001868867,0.0006420203,0.03555162,0.00001572555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689905,0.000917794,0.0001240987,0.002173425,0.00009882932,0.00001352222,0.00009653746,0.000006043318,0.02757925],"genre_scores_gemma":[0.9920438,0.000933526,0.00009550759,0.0001803023,0.00004207778,0.00000759737,0.00007246147,0.000004757216,0.006619969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04122767,"threshold_uncertainty_score":0.0819754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289850624361999,"score_gpt":0.2926975146218073,"score_spread":0.2697990083781873,"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."}}