{"id":"W4226186720","doi":"10.2196/35347","title":"Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Misinformation; Mental health; Content analysis; Distrust; Social media; Pandemic; Psychology; Viewpoints; Public relations; Internet privacy; Medicine; Coronavirus disease 2019 (COVID-19); Psychiatry; Sociology; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01540809,0.0001071371,0.0002204963,0.0006415361,0.004299557,0.0003868557,0.0007341905,0.0000320616,0.000677335],"category_scores_gemma":[0.0004768789,0.00008101545,0.00009435363,0.001745278,0.0002076879,0.0006196137,0.0003311348,0.0005939352,0.000004320963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816049,"about_ca_system_score_gemma":0.001539284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009509589,"about_ca_topic_score_gemma":0.05387062,"domain_scores_codex":[0.9932125,0.003784824,0.0006284197,0.0001259702,0.001630404,0.000617926],"domain_scores_gemma":[0.9985448,0.000392215,0.000253507,0.0003533669,0.0001862546,0.0002698546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001373388,0.002100572,0.06858489,0.0003957677,0.00007763488,9.66263e-7,0.9100606,0.000549643,0.000006991175,0.001629605,0.01313872,0.002081263],"study_design_scores_gemma":[0.003268707,0.0007355889,0.0151436,0.00003753437,8.569163e-7,0.000001042598,0.4715992,0.0004150285,8.618866e-7,0.00005279827,0.5086697,0.00007510173],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01471011,3.396344e-7,0.00002539206,0.01093006,0.000003217217,0.9734193,0.0001450571,0.00006100139,0.0007054933],"genre_scores_gemma":[0.03741713,3.313509e-7,0.00002764328,0.001247242,0.00002426676,0.959648,0.0000719866,0.000007899995,0.001555458],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.495531,"threshold_uncertainty_score":0.9970862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7633000484795779,"score_gpt":0.6723660586664794,"score_spread":0.09093398981309853,"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."}}