{"id":"W4389455645","doi":"10.1093/ced/llad434","title":"Evaluation of ChatGPT's acne advice","year":2023,"lang":"en","type":"letter","venue":"Clinical and Experimental Dermatology","topic":"Acne and Rosacea Treatments and Effects","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health; University of British Columbia; McGill University Health Centre","funders":"","keywords":"Readability; Acne; Medicine; Dermatology; Relevance (law); Completeness (order theory); Advice (programming); Dermatological diseases; Acne treatment; Medical physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009121059,0.0002776416,0.0005806662,0.001279,0.0008918713,0.0007043674,0.00074449,0.00111022,0.008976296],"category_scores_gemma":[0.06656857,0.0001474238,0.0002852062,0.0007050467,0.0003303706,0.0004932602,0.001016212,0.001070141,0.002670415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657118,"about_ca_system_score_gemma":0.001353171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003635128,"about_ca_topic_score_gemma":0.005064194,"domain_scores_codex":[0.9885327,0.006992152,0.001112854,0.0004951638,0.002427063,0.0004400174],"domain_scores_gemma":[0.9205598,0.04786404,0.003140697,0.002113026,0.02247076,0.003851722],"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":[0.004082605,0.002341798,0.1440593,0.0031162,0.0001240413,0.01161341,0.0411766,0.001000237,0.01616942,0.0006789097,0.121937,0.6537005],"study_design_scores_gemma":[0.000930302,0.0113041,0.6010519,0.002987763,0.0003647946,0.02543503,0.03674996,0.01659746,0.01851451,0.001337008,0.2842962,0.0004308418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9305945,0.002107137,0.005548019,0.01258597,0.001086881,0.00285159,0.002505969,0.001339396,0.04138044],"genre_scores_gemma":[0.9552225,0.001314999,0.01829735,0.005879874,0.0005181301,0.002695804,0.001120944,0.0002114426,0.01473903],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.009121059,"threshold_uncertainty_score":0.04823738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09094141810137805,"score_gpt":0.4352537652266686,"score_spread":0.3443123471252906,"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."}}