{"id":"W2953828431","doi":"10.17615/s0fh-8n92","title":"THE STATE OF WOMEN'S SPORTS ON THE WEB: CONTENT ANALYSES OF INTERNATIONAL SPORTS NEWS WEBSITES AND ATHLETES' TWITTER PROFILES","year":2019,"lang":"en","type":"article","venue":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Athletes; Advertising; Sports tourism; State (computer science); World Wide Web; Internet privacy; Computer science; Political science; Business; Tourism; Medicine; Physical therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000433489,0.0001955233,0.0004154842,0.00007799471,0.0005202804,0.00003201946,0.0004848654,0.00008773922,0.00004488709],"category_scores_gemma":[0.0000754097,0.0001520924,0.0003254713,0.000224378,0.001118886,0.0003233143,0.0002142319,0.0001472219,0.000003013522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675278,"about_ca_system_score_gemma":0.000241149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006131555,"about_ca_topic_score_gemma":0.0003464887,"domain_scores_codex":[0.9978676,0.0000848964,0.0003629643,0.0003585244,0.0009689221,0.0003570491],"domain_scores_gemma":[0.997961,0.0003018722,0.000702891,0.0004044572,0.0004586561,0.0001710872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002130213,0.00007885947,0.9695709,0.00003513636,0.0001812761,0.00003539674,0.02726886,0.0000638585,0.000423988,0.0002312545,0.0002668124,0.001630614],"study_design_scores_gemma":[0.0005595036,0.0001814625,0.9182132,0.00008147172,0.0000761773,0.000009604355,0.06591906,0.0001606745,0.0005023516,0.0001185625,0.01391228,0.0002656198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842365,0.000253977,0.00000207985,0.0002289305,0.0004074912,0.0003898753,0.00008004123,0.00002369273,0.01437745],"genre_scores_gemma":[0.9867827,0.0009409922,0.000008984076,0.00005815337,0.00007446358,0.000001304107,0.00001603944,0.00001262908,0.01210471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0513577,"threshold_uncertainty_score":0.620215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271752916731884,"score_gpt":0.2293595239814916,"score_spread":0.2066419948141727,"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."}}