{"id":"W4310973929","doi":"10.31234/osf.io/qy94s","title":"High level of correspondence across different news domain quality rating sets","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada; Volkswagen Foundation; Alexander von Humboldt-Stiftung; John Templeton Foundation","keywords":"Misinformation; Computer science; Quality (philosophy); Aggregate (composite); Reliability (semiconductor); Set (abstract data type); Domain (mathematical analysis); Information retrieval; Data science; Mathematics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002756496,0.0001950714,0.0004254062,0.00006462527,0.0006169588,0.000203605,0.0006922449,0.000206142,0.009617392],"category_scores_gemma":[0.00110054,0.0001694459,0.0001573416,0.0001879197,0.0002005514,0.0002073375,0.0009792058,0.0005048579,0.00002612691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822934,"about_ca_system_score_gemma":0.0005672124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02854211,"about_ca_topic_score_gemma":0.01276266,"domain_scores_codex":[0.9965678,0.000784769,0.0007652589,0.0002626953,0.001222815,0.0003965929],"domain_scores_gemma":[0.9981396,0.0003816408,0.0007186006,0.0004425713,0.0001304996,0.0001871431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001639063,0.0002266648,0.005007035,0.0003574165,0.00007580726,0.000003262108,0.7647546,0.0009587322,0.0003536172,0.173735,0.02168154,0.03268245],"study_design_scores_gemma":[0.001388766,0.000110461,0.2239131,0.0002226586,0.00002364865,0.000001205275,0.7083737,0.0002555262,0.001328858,0.03060812,0.03245855,0.001315432],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500293,0.00002118439,0.004250815,0.001238178,0.001378065,0.0004632883,0.0004689469,0.0000865188,0.04206369],"genre_scores_gemma":[0.9818773,0.00006274211,0.001695944,0.0005418788,0.00008768032,0.00001009096,0.00007492719,0.000008995351,0.01564049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189061,"threshold_uncertainty_score":0.9912879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2596519952068824,"score_gpt":0.4685832607038062,"score_spread":0.2089312654969238,"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."}}