{"id":"W4412766358","doi":"10.1016/s0016-5085(26)04276-9","title":"119 PSYCHOMETRIC PROFILING OF PATIENTS WITH CHRONIC GASTRODUODENAL SYMPTOMS USING BODY SURFACE GASTRIC MAPPING PHENOTYPES","year":2025,"lang":"en","type":"preprint","venue":"Gastroenterology","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Profiling (computer programming); Phenotype; Medicine; Gastroenterology; Gastroduodenal ulcer; Internal medicine; Biology; Computer science; Gene; Genetics","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":[0.0005175272,0.000497544,0.0004541358,0.001049361,0.000299923,0.001046342,0.0002332021,0.0005039477,0.003760755],"category_scores_gemma":[0.003933918,0.0001232195,0.0004720562,0.0007792684,0.0002371278,0.0003603875,0.0007546868,0.0004213605,0.000888683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909213,"about_ca_system_score_gemma":0.0001839129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000995949,"about_ca_topic_score_gemma":0.0005706675,"domain_scores_codex":[0.9996955,0.0001075426,0.00003859605,0.00005051668,0.00005413006,0.00005373556],"domain_scores_gemma":[0.9989095,0.0003454175,0.0002938067,0.00007766348,0.0001453485,0.0002283138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003417828,0.00008618476,0.9897619,0.00001908508,0.00005037671,0.0002536853,0.0001815599,0.00007790363,0.001413131,0.00004982124,0.0002636864,0.007500863],"study_design_scores_gemma":[0.00001026183,0.0001504043,0.9986738,0.00001063301,0.00002000971,0.0003216544,0.0002259225,0.0002391062,0.0001061403,0.00008918113,0.0001479351,0.000004923328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978791,0.0001286739,0.0002710758,0.0001004108,0.00001397005,0.00001351915,0.0003883318,0.000008055375,0.001196955],"genre_scores_gemma":[0.9987722,0.00008646026,0.0001937007,0.00003488936,0.00001322996,0.00001338638,0.0005747583,0.000006217396,0.000305137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003760755,"threshold_uncertainty_score":0.01258099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676376629121543,"score_gpt":0.2576134180557399,"score_spread":0.2408496517645245,"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."}}