{"id":"W4385565389","doi":"10.2196/preprints.51325","title":"Linking Opinions Shared on Social Media About COVID-19 Public Health Measures to Adherence: Repeated Cross-Sectional Surveys of Twitter Use in Canada (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Cross-sectional study; Odds; Logistic regression; Medicine; Coronavirus disease 2019 (COVID-19); Odds ratio; Representativeness heuristic; Social distance; Public health; Family medicine; Population; Psychology; Demography; Social psychology; Environmental health; Nursing; Sociology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002086112,0.0002872657,0.0003695069,0.001179537,0.001429319,0.001300826,0.0009742294,0.0005599951,0.003341401],"category_scores_gemma":[0.007558946,0.0003371307,0.0007590443,0.002917146,0.0004732601,0.000498901,0.0009719668,0.0006701933,0.0005113619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009642628,"about_ca_system_score_gemma":0.01113003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975514,"about_ca_topic_score_gemma":0.9742535,"domain_scores_codex":[0.9986553,0.0001965894,0.0001348896,0.0002196556,0.0005204653,0.0002730649],"domain_scores_gemma":[0.9947212,0.0006019095,0.001531958,0.0002309111,0.002350613,0.0005634881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007578521,0.00003768213,0.987767,0.0001105993,0.000113282,0.0000202754,0.001166728,0.00006217558,0.0001101614,0.00006400838,0.00469055,0.005781943],"study_design_scores_gemma":[0.000004136751,0.00001602182,0.9982425,0.00003732308,0.00002058746,0.000009192078,0.0006301316,0.0001309392,0.00004422278,0.000008318491,0.0008492017,0.000007535052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595997,0.0005347517,0.0003644472,0.001128008,0.00004895909,0.0002024402,0.03489069,0.00002899759,0.003201874],"genre_scores_gemma":[0.9839101,0.0005688341,0.0007772409,0.0006419215,0.00003736923,0.0002478475,0.01085679,0.00001667711,0.002943173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448601,"threshold_uncertainty_score":0.0699625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4397726205384596,"score_gpt":0.4440700200135175,"score_spread":0.004297399475057861,"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."}}