{"id":"W4414238952","doi":"10.2196/70756","title":"Quality Assessment of Health Information on Social Media During a Public Health Crisis: Infodemiology Study","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Transparency (behavior); Public health; Social media; Health information; Quality (philosophy); HRHIS; Health policy; Quality assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01303857,0.0002708311,0.000551263,0.005513296,0.0007964764,0.002353129,0.0006602039,0.0008973607,0.001480137],"category_scores_gemma":[0.063657,0.0003442075,0.001080606,0.006015413,0.0008789158,0.002707301,0.002304148,0.001026486,0.0002753781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603031,"about_ca_system_score_gemma":0.001285193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004007434,"about_ca_topic_score_gemma":0.003915134,"domain_scores_codex":[0.9893662,0.004322099,0.002208901,0.000771388,0.00277909,0.0005523505],"domain_scores_gemma":[0.9072254,0.03549132,0.03942112,0.004253198,0.01113537,0.002473563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001657688,0.0001862261,0.9860381,0.0002207842,0.0001972056,0.00006958662,0.002863065,0.00005908827,0.00009271294,0.0001145686,0.0004546612,0.009538215],"study_design_scores_gemma":[0.00001310137,0.0002553809,0.9923378,0.0001434935,0.0001015367,0.0002277155,0.004932439,0.0005606256,0.0001996128,0.00009155645,0.001116282,0.000020589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956738,0.0006487487,0.0004085592,0.0004422611,0.00002414807,0.0002125508,0.001186213,0.0000114508,0.001392306],"genre_scores_gemma":[0.9981208,0.0002973357,0.0004921987,0.000123321,0.00004058866,0.00010992,0.0006193513,0.000007606213,0.0001887832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303857,"threshold_uncertainty_score":0.0689553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132930924327906,"score_gpt":0.4838560295350464,"score_spread":0.3509251052071404,"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."}}