{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008630374,0.0002844954,0.0005788266,0.003956758,0.0008223197,0.001494498,0.000898434,0.0005621192,0.002330158],"category_scores_gemma":[0.02349311,0.0004839863,0.0007917303,0.00494603,0.0008912312,0.002695949,0.00144516,0.0009187055,0.000512242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394675,"about_ca_system_score_gemma":0.001419002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006215272,"about_ca_topic_score_gemma":0.006293712,"domain_scores_codex":[0.9937307,0.001817011,0.001456884,0.0005622127,0.001825626,0.0006076577],"domain_scores_gemma":[0.9663333,0.007312361,0.01935117,0.001218912,0.004340648,0.001443491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003911758,0.00009887554,0.9944305,0.0001499593,0.00004514905,0.00007214777,0.001858907,0.0000207395,0.00006664438,0.00006654434,0.0003437018,0.002807793],"study_design_scores_gemma":[0.000005012133,0.0001489765,0.9919953,0.0001282354,0.0000390851,0.0002729302,0.005837871,0.0002291322,0.0001002454,0.0000422131,0.001183161,0.00001775441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971581,0.0003520939,0.000202081,0.0001536319,0.000009212159,0.0001638735,0.0009242811,0.000006647722,0.00103017],"genre_scores_gemma":[0.9979552,0.0003795112,0.0003871991,0.0001222537,0.00001634003,0.0001811214,0.0007013035,0.000005868899,0.0002511705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008630374,"threshold_uncertainty_score":0.04564238,"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."}}