{"id":"W6910092051","doi":"10.48448/pw0e-st24","title":"Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Misinformation; Harm; Task (project management); Disinformation; Salience (neuroscience); Data Protection Act 1998; Social media","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001332282,0.0006134517,0.0006246394,0.00170966,0.0001984019,0.001096156,0.001055994,0.0003161641,0.0007305248],"category_scores_gemma":[0.0001825476,0.0004790864,0.0001402855,0.002828222,0.00403643,0.00300145,0.000194792,0.0005235268,0.002683728],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583629,"about_ca_system_score_gemma":0.007874412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865007,"about_ca_topic_score_gemma":0.0004943412,"domain_scores_codex":[0.995052,0.00003800139,0.0009417867,0.0006541452,0.002570689,0.0007433232],"domain_scores_gemma":[0.9972526,0.00003091805,0.001337944,0.0006302673,0.0004334941,0.0003147123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001262359,0.0001182057,0.00001683214,0.001536008,0.000255999,0.00003353935,0.009890092,0.0005272645,0.01439367,0.009373295,0.9148091,0.04891976],"study_design_scores_gemma":[0.002664693,0.0008379251,0.00006555986,0.006959388,0.0006988881,0.0007046359,0.008492777,0.06488664,0.01645228,0.002762169,0.8928248,0.002650272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001839319,0.001654207,0.02004287,0.002316671,0.00175605,0.001711103,0.0008299538,0.001764843,0.968085],"genre_scores_gemma":[0.2625798,0.0001096766,0.0843508,0.0006359586,0.001195129,0.00003682057,0.0009745058,0.00138222,0.6487351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3193499,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518699204806658,"score_gpt":0.3080912936627751,"score_spread":0.2829043016147085,"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."}}