{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080389,0.0001605651,0.0002339082,0.003322573,0.0007298966,0.002226498,0.0001783262,0.0002804606,0.001457391],"category_scores_gemma":[0.005254727,0.0001167812,0.0002068936,0.003673862,0.0007277317,0.001892085,0.001003669,0.0003052238,0.0003240686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990655,"about_ca_system_score_gemma":0.000385275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342178,"about_ca_topic_score_gemma":0.005926584,"domain_scores_codex":[0.9992982,0.000260836,0.00007498005,0.00008814048,0.0001833498,0.00009449594],"domain_scores_gemma":[0.9954666,0.002532712,0.001016338,0.0001313229,0.0006776405,0.0001754377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000379138,0.0001390974,0.6236398,0.0008709838,0.00009363137,0.0006759155,0.2800745,0.0001342641,0.007364639,0.002050265,0.002555475,0.08202226],"study_design_scores_gemma":[0.000003982203,0.0000627275,0.7496318,0.0002193587,0.00004497007,0.0003003252,0.2372051,0.0005470696,0.001299036,0.0002818752,0.01037939,0.00002431361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933897,0.0001651257,0.0002477856,0.0001867393,0.0000121132,0.00003963719,0.0006036384,0.000007327174,0.005347935],"genre_scores_gemma":[0.9965212,0.0003914298,0.0005642931,0.00007546802,0.00003370214,0.0001015765,0.0006930003,0.00001490842,0.001604278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00342178,"threshold_uncertainty_score":0.006803751,"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."}}