{"id":"W4388502894","doi":"10.2196/51243","title":"Can we use ChatGPT for Mental Health and Substance Use Education? Examining Its Quality and Potential Harms","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Misinformation; Mental health; The Internet; Quality (philosophy); Psychology; Internet privacy; Medicine; Public relations; Medical education; Computer science; Political science; Computer security; World Wide Web; Psychiatry; Artificial intelligence","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":[0.1269988,0.0005002474,0.001249123,0.003051733,0.002506411,0.008895949,0.002436312,0.002714992,0.007275093],"category_scores_gemma":[0.5309605,0.0007917741,0.0013797,0.002391329,0.005127243,0.0114714,0.006950493,0.003370469,0.001496955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004858637,"about_ca_system_score_gemma":0.009784657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007018792,"about_ca_topic_score_gemma":0.009696797,"domain_scores_codex":[0.86474,0.09863217,0.006628799,0.002901249,0.02468547,0.002412403],"domain_scores_gemma":[0.374422,0.5048757,0.03948686,0.03708523,0.03745739,0.006672778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002076464,0.001607571,0.2127257,0.006827564,0.0004986999,0.0005767434,0.07290449,0.001009459,0.001622291,0.008662829,0.0160754,0.6754129],"study_design_scores_gemma":[0.001447191,0.01578987,0.4801801,0.04015084,0.00293598,0.003867306,0.1452384,0.02392849,0.01278995,0.04294307,0.22994,0.0007888491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254312,0.0112309,0.03155659,0.087042,0.0007753312,0.003321639,0.002265161,0.001862996,0.03651422],"genre_scores_gemma":[0.9525266,0.003056172,0.02975015,0.009356775,0.0002896252,0.002042941,0.0004966164,0.0002714468,0.002209666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269988,"threshold_uncertainty_score":0.6716418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2756360376649405,"score_gpt":0.5137590800059211,"score_spread":0.2381230423409806,"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."}}