{"id":"W4417029575","doi":"10.2196/78054","title":"Identifying Patient Sentiment in Atopic Dermatitis Treatment: Large Language Model Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Dermatology and Skin Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atopic dermatitis; Social media; Sentiment analysis; Language model; MEDLINE; Key (lock)","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":[0.0009671928,0.0007480989,0.0002994924,0.00080521,0.0002798692,0.0008553928,0.0003238089,0.0004260801,0.001856582],"category_scores_gemma":[0.002520997,0.0001219555,0.0007898306,0.0005015939,0.0001330683,0.0006875969,0.000453271,0.0009526413,0.001020238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000642545,"about_ca_system_score_gemma":0.0007823585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005266365,"about_ca_topic_score_gemma":0.01072975,"domain_scores_codex":[0.9994961,0.0002266705,0.00004360216,0.0001004829,0.00008699495,0.00004612223],"domain_scores_gemma":[0.9988643,0.0008050579,0.00009063676,0.00006150267,0.0001426345,0.00003590287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00169358,0.001111032,0.07104044,0.0008485041,0.0006377147,0.001246273,0.0008701946,0.08295856,0.04879358,0.005101022,0.06721713,0.7184819],"study_design_scores_gemma":[0.00006336199,0.0002222734,0.01938734,0.00004812692,0.000187184,0.0002546339,0.000482669,0.953085,0.005936062,0.005872787,0.01441898,0.00004162647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.618894,0.003029362,0.3130593,0.007331577,0.001008532,0.0007587096,0.03259948,0.006575322,0.01674378],"genre_scores_gemma":[0.8836607,0.0005528336,0.09098351,0.0007814451,0.0002703527,0.0002083797,0.01975048,0.0001276331,0.003664728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005266365,"threshold_uncertainty_score":0.0104714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533093165391176,"score_gpt":0.4129874186769046,"score_spread":0.3676564870229929,"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."}}