{"id":"W3021627816","doi":"10.2196/14826","title":"Evaluating the Quality of Health-Related WeChat Public Accounts: Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Checklist; Quality (philosophy); Conformity assessment; Computer science; Medical education; Medicine; Psychology; Family medicine; Political 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02021952,0.0004235819,0.001222065,0.0001944941,0.005427847,0.00004513408,0.0006022667,0.0003975918,0.0005033734],"category_scores_gemma":[0.001614884,0.0003231191,0.0001318964,0.001337781,0.0003131319,0.0002939376,0.0002875865,0.002260479,0.000186146],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998834,"about_ca_system_score_gemma":0.007014335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704902,"about_ca_topic_score_gemma":0.0004910273,"domain_scores_codex":[0.983646,0.005969888,0.005923524,0.001142105,0.001321854,0.001996572],"domain_scores_gemma":[0.9903562,0.002199274,0.003694803,0.0009332693,0.0007961289,0.002020341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005689954,0.0005393641,0.9301531,0.006497405,0.00003513929,4.695227e-7,0.008494581,0.00001255235,0.00001236376,0.01463361,0.002639342,0.03641309],"study_design_scores_gemma":[0.003752786,0.001722408,0.9774153,0.00006116093,0.00001897071,0.000003492725,0.005128033,0.0007264172,2.977883e-7,0.0008928215,0.01006528,0.0002130497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249378,0.003008481,0.0001585985,0.05748748,0.0007658702,0.01237749,0.0001915758,0.0002809701,0.0007917536],"genre_scores_gemma":[0.9687284,0.0008780104,0.0002388249,0.02301507,0.0005448221,0.006237693,0.0001097412,0.00006491657,0.0001825358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0472622,"threshold_uncertainty_score":0.9999221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4473873135107641,"score_gpt":0.604915148679108,"score_spread":0.1575278351683439,"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."}}