{"id":"W4234652624","doi":"10.32920/ryerson.14652642","title":"The Power of Soccer Fandom in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fandom; Order (exchange); Hierarchy; Media studies; Thematic analysis; Social media; Power (physics); Sociology; Advertising; Political science; Computer science; Social science; World Wide Web; Business; Qualitative research","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":[0.0009995645,0.0005546308,0.0003541372,0.002053255,0.01045319,0.005683465,0.0008233238,0.000461407,0.007606715],"category_scores_gemma":[0.00205968,0.0003356093,0.0002336285,0.002573704,0.00640855,0.001117173,0.003092598,0.0007503101,0.0002850292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0263024,"about_ca_system_score_gemma":0.01114716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8377925,"about_ca_topic_score_gemma":0.9437538,"domain_scores_codex":[0.998623,0.0003766551,0.00003239686,0.0002033873,0.0003405003,0.0004240639],"domain_scores_gemma":[0.9985587,0.0003820333,0.0001740541,0.00005993988,0.0002750102,0.0005503323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002659385,0.0000350691,0.0555984,0.0002403812,0.00003054983,0.001740868,0.8936841,0.0002845088,0.00233458,0.01304456,0.005376075,0.02736486],"study_design_scores_gemma":[0.000008703588,0.00007014279,0.09609898,0.0002007109,0.00002579954,0.0003032286,0.8413782,0.0005582549,0.0007938353,0.0007142655,0.05980666,0.00004114596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352843,0.0005718376,0.000622738,0.0008011137,0.0000784722,0.00003474046,0.000203265,0.00002969033,0.06237385],"genre_scores_gemma":[0.9931642,0.0002431108,0.0001155338,0.00003388991,0.000008838368,0.000007321941,0.00004630258,0.00001312605,0.006367553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1622075,"threshold_uncertainty_score":0.3263255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279643281149042,"score_gpt":0.3348959833180397,"score_spread":0.3069316552031355,"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."}}