{"id":"W4414823502","doi":"10.1016/j.hpb.2025.07.632","title":"Use of CA19-9 in the Decision-making Process for Pancreatic Cancer","year":2025,"lang":"en","type":"article","venue":"HPB","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pancreas Centre (Canada)","funders":"","keywords":"Pancreatic cancer; Process (computing); Cancer; CA19-9; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003320285,0.00005421846,0.0002714369,0.00009988967,0.00003831738,0.000006154493,0.00009078299,0.00005392076,0.00006828514],"category_scores_gemma":[0.001195025,0.00003230601,0.00003858736,0.0002757396,0.00006091712,0.00003095515,0.00001556281,0.00009512101,0.000001931673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004750406,"about_ca_system_score_gemma":0.0003273337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852923,"about_ca_topic_score_gemma":0.0002150333,"domain_scores_codex":[0.9993613,0.00003143775,0.0001913755,0.000109662,0.0001492281,0.0001569577],"domain_scores_gemma":[0.9982657,0.001388041,0.00003598004,0.0001841542,0.0001113663,0.00001478704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006363665,0.0001493041,0.9216536,0.000485241,0.00007293781,0.00001401001,0.00101852,0.00002344205,0.0001429308,0.0004486952,0.004692381,0.07066256],"study_design_scores_gemma":[0.002374581,0.000290239,0.9457862,0.002944044,0.0004128757,0.00001269184,0.001348517,0.03573485,0.0001635634,0.002710279,0.008128124,0.00009404169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925773,0.0005196238,0.004053609,0.0005379801,0.00004277657,0.0007500247,0.000006265901,0.000006016598,0.001506409],"genre_scores_gemma":[0.9940087,0.0001253975,0.003743624,0.0007580999,0.00003257956,0.0003215898,0.000002031078,0.000005105587,0.001002865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07056852,"threshold_uncertainty_score":0.1430643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08886958657365597,"score_gpt":0.4600879605725888,"score_spread":0.3712183739989329,"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."}}