{"id":"W4403963697","doi":"10.48550/arxiv.2410.04282","title":"Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Narrative; Sociology; Political science; Internet privacy; World Wide Web; Psychology; Computer science; Literature; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006547203,0.0002903883,0.0004002339,0.006687445,0.004678841,0.003551994,0.0009036526,0.001166838,0.001849677],"category_scores_gemma":[0.03340199,0.0002507697,0.0002181759,0.006725337,0.003743206,0.006641733,0.004072973,0.0009176185,0.0002452493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220295,"about_ca_system_score_gemma":0.001155767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451419,"about_ca_topic_score_gemma":0.02679982,"domain_scores_codex":[0.993359,0.004643964,0.0004191152,0.0004486607,0.0007640652,0.0003652525],"domain_scores_gemma":[0.9469884,0.04046595,0.00643025,0.001909483,0.003349368,0.0008565808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001267663,0.00005685914,0.09513754,0.000467021,0.00003342408,0.003790057,0.870886,0.0001844017,0.001031719,0.004324154,0.00147702,0.02248512],"study_design_scores_gemma":[0.000007256367,0.00004298327,0.04345964,0.0005092968,0.00003708203,0.001790626,0.9313715,0.000951944,0.001127323,0.002609962,0.01806174,0.00003064262],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942795,0.000452656,0.001101331,0.0007168546,0.00001103629,0.0000268775,0.0003185285,0.00001590572,0.003077324],"genre_scores_gemma":[0.9974704,0.0002409176,0.001376718,0.00009385712,0.00001088194,0.00002791077,0.0002532898,0.0000239312,0.0005021467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01451419,"threshold_uncertainty_score":0.03462529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05484087007529938,"score_gpt":0.2812770421580805,"score_spread":0.2264361720827811,"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."}}