{"id":"W4395056484","doi":"10.2139/ssrn.4804639","title":"Unmasking Health Myths: Crafting Quality Standards Against Online Misinformation and Disinformation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Misinformation; Disinformation; Mythology; Internet privacy; Quality (philosophy); Psychology; Computer science; Social media; Computer security; Art; World Wide Web; Epistemology; Philosophy; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2178739,0.0008548361,0.001126346,0.007391782,0.008259251,0.01786693,0.00482574,0.009017965,0.006029486],"category_scores_gemma":[0.5188129,0.0008625889,0.0007789959,0.00310583,0.03589891,0.0271762,0.01433027,0.01595839,0.001360895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008312425,"about_ca_system_score_gemma":0.02833996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011861,"about_ca_topic_score_gemma":0.007875201,"domain_scores_codex":[0.8448694,0.09763345,0.007885426,0.005765944,0.04012086,0.003725014],"domain_scores_gemma":[0.3554399,0.4509107,0.05601579,0.048127,0.07839383,0.01111274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003480662,0.0006475991,0.02535162,0.001272245,0.0001861018,0.0001556624,0.05052054,0.001819753,0.001696803,0.4704239,0.05352503,0.3940526],"study_design_scores_gemma":[0.0001781057,0.0004758363,0.0149615,0.004622452,0.0002252395,0.0002299996,0.03585672,0.005451564,0.006310986,0.7908365,0.1406082,0.0002428648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07569969,0.005458491,0.1503652,0.6402505,0.004729344,0.0008290922,0.0002033483,0.0007110406,0.1217533],"genre_scores_gemma":[0.8625977,0.001967123,0.07747672,0.04998925,0.001521614,0.0005990412,0.0001106071,0.0003119266,0.005426137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2178739,"threshold_uncertainty_score":0.9645007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318037144250749,"score_gpt":0.3939485952805753,"score_spread":0.3707682238380678,"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."}}