{"id":"W3210196061","doi":"10.2196/25783","title":"Assessing the Quality of Online Health Information About Breast Cancer from Chinese Language Websites: Quality Assessment Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Checklist; Medicine; Quality (philosophy); Cancer; Psychology; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007325602,0.0002389061,0.0007036166,0.00007044028,0.0008374948,0.00009896747,0.0003170415,0.0001991501,0.005525562],"category_scores_gemma":[0.0006750888,0.0001574615,0.0001223732,0.0007504778,0.0000830543,0.002892215,0.0001930395,0.00100458,0.0000414723],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009477642,"about_ca_system_score_gemma":0.006327443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1398747,"about_ca_topic_score_gemma":0.05754186,"domain_scores_codex":[0.9899756,0.004912777,0.00354682,0.0002777906,0.0007428791,0.000544076],"domain_scores_gemma":[0.9929655,0.001719795,0.002851019,0.0008365107,0.0014064,0.0002207919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007248848,0.0001427861,0.9356242,0.00148471,0.00003635156,1.299258e-7,0.01677662,0.00003554629,0.00006232999,0.00009738657,0.003235597,0.04243182],"study_design_scores_gemma":[0.0009558832,0.000007683068,0.9790216,0.0005141742,0.000005391562,2.189088e-7,0.01035287,0.001003717,0.000007205169,0.00005235722,0.007913369,0.0001655035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695654,0.0009778611,0.001212807,0.007651452,0.001105287,0.001028722,0.0172652,0.00008310477,0.00111015],"genre_scores_gemma":[0.970063,0.0004721281,0.0007769609,0.02369528,0.0004744662,0.0004016351,0.00387387,0.00001615457,0.0002264765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08233282,"threshold_uncertainty_score":0.9993058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320079592609243,"score_gpt":0.6100697559852621,"score_spread":0.4780617967243379,"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."}}