{"id":"W4409206212","doi":"10.2196/69075","title":"Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Content analysis; Medicine; Family medicine; Medical education; Psychology; Computer science; Sociology; World Wide Web; Social science","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":[0.008902683,0.0004117046,0.0005903792,0.002377581,0.0006584179,0.001421813,0.0006334184,0.0004583192,0.0009773178],"category_scores_gemma":[0.02925334,0.0004297675,0.0009025352,0.001681269,0.0005450958,0.0008918661,0.0009664733,0.0004956318,0.0002641356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849794,"about_ca_system_score_gemma":0.001759274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004362103,"about_ca_topic_score_gemma":0.009447104,"domain_scores_codex":[0.9892615,0.006882153,0.001204888,0.0009842638,0.001367906,0.0002992971],"domain_scores_gemma":[0.9617472,0.02166118,0.008033506,0.001156567,0.0068275,0.0005741703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001308374,0.001867185,0.761131,0.005352013,0.0008288819,0.001224934,0.07120532,0.001113453,0.004322914,0.0006018747,0.002593165,0.1484509],"study_design_scores_gemma":[0.0001312761,0.002559769,0.8896981,0.001531973,0.0006705946,0.001204074,0.08024038,0.009754458,0.005893683,0.0005127633,0.007628229,0.0001746359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995553,0.0004872167,0.001879811,0.0001122603,0.0000110373,0.0007421531,0.0006755888,0.00001279439,0.0005262214],"genre_scores_gemma":[0.9884931,0.00047811,0.007978902,0.0001771509,0.00002253207,0.001522926,0.0007181293,0.00001804717,0.0005910278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008902683,"threshold_uncertainty_score":0.04708248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2732198252515131,"score_gpt":0.5905175764079983,"score_spread":0.3172977511564852,"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."}}