{"id":"W4412823866","doi":"10.1136/bmjmed-2025-001632","title":"Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement","year":2025,"lang":"en","type":"article","venue":"BMJ Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Chatbot; Checklist; Guideline; Computer science; Chart; Advice (programming); Medicine; Data science; Psychology; World Wide Web; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02511118,0.0002728735,0.001063795,0.0001966738,0.0006615338,0.00001860776,0.0001422908,0.00008598468,0.0001017544],"category_scores_gemma":[0.03705596,0.0001696136,0.0001438062,0.0005501526,0.0001634594,0.00008415613,0.00007886176,0.0003564418,0.000006944926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007857489,"about_ca_system_score_gemma":0.002301297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965591,"about_ca_topic_score_gemma":0.0002494502,"domain_scores_codex":[0.9860612,0.0001362479,0.01190371,0.0005936989,0.0006557883,0.0006494201],"domain_scores_gemma":[0.9862153,0.001006287,0.00992569,0.0009419674,0.001714153,0.0001966289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001923014,0.0001879867,0.01332686,0.002164063,0.0003277996,0.00004190882,0.00736475,0.00005701858,0.0004828206,0.001929057,0.73932,0.2346054],"study_design_scores_gemma":[0.001163216,0.003061665,0.01004373,0.009554528,0.0006354669,0.0002597276,0.2338596,0.01830445,0.002534264,0.006325696,0.7137437,0.0005138825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03659315,0.007449123,0.04553894,0.892808,0.00442781,0.008175263,0.000007069686,0.0002822265,0.004718481],"genre_scores_gemma":[0.8065048,0.003970463,0.03546178,0.1246335,0.009366347,0.003882503,0.0005270804,0.0001102505,0.01554325],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7699117,"threshold_uncertainty_score":0.9710553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.506489169898254,"score_gpt":0.6595066021220202,"score_spread":0.1530174322237662,"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."}}