{"id":"W4413190184","doi":"10.2196/70602","title":"Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Identification (biology); Pancreatic cancer; Medicine; Cancer; Computer science; Internal medicine; World Wide Web; Biology","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":[0.004132176,0.0008943382,0.0005414872,0.001742188,0.0002874314,0.000902859,0.000854482,0.0006477457,0.001280817],"category_scores_gemma":[0.01031645,0.0002521485,0.001446389,0.0009047764,0.0002614155,0.0008207709,0.0008342071,0.001068255,0.0004462154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080653,"about_ca_system_score_gemma":0.001792699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118077,"about_ca_topic_score_gemma":0.01945741,"domain_scores_codex":[0.9990414,0.0004405978,0.00009526301,0.0002713441,0.00009196527,0.00005946496],"domain_scores_gemma":[0.9954946,0.00361376,0.0002171032,0.0001876998,0.0004115489,0.000075333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001570991,0.0008260226,0.2535383,0.0006480587,0.0009737025,0.0005619609,0.0005654078,0.3834515,0.001803951,0.001673798,0.006875991,0.3475102],"study_design_scores_gemma":[0.00005358193,0.0001355138,0.01341545,0.00005903357,0.0001418941,0.00008983757,0.00009200661,0.9834675,0.0005116055,0.00135187,0.0006645648,0.00001714789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520413,0.002022326,0.1315011,0.001583517,0.0001522546,0.000857585,0.007866363,0.001852635,0.002122893],"genre_scores_gemma":[0.9397822,0.0004767323,0.04894222,0.0001987749,0.00004801448,0.0004435782,0.009272261,0.00002536587,0.0008107722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02118077,"threshold_uncertainty_score":0.04211497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629021360939719,"score_gpt":0.3648574411477723,"score_spread":0.3385672275383751,"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."}}