{"id":"W2744905050","doi":"","title":"膵癌への挑戦 Borderline resectable膵癌に対する拡大膵切除","year":2017,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.0004729254,0.0004934394,0.0002779843,0.0008679889,0.0008392847,0.001096432,0.0003746204,0.0005319542,0.01325206],"category_scores_gemma":[0.001433443,0.0001526941,0.0004167995,0.0003124105,0.001137926,0.001001302,0.0008657707,0.001007425,0.003622603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502538,"about_ca_system_score_gemma":0.0006446153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007468485,"about_ca_topic_score_gemma":0.0008688453,"domain_scores_codex":[0.9996711,0.00003796683,0.00002548865,0.00005220932,0.0001225439,0.00009070055],"domain_scores_gemma":[0.9991682,0.0001721608,0.0001816682,0.00008268066,0.0001194558,0.0002759467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002956753,0.0005182668,0.1552889,0.001352891,0.0002019992,0.1225466,0.001952468,0.001869192,0.1646202,0.04417387,0.02534023,0.4791785],"study_design_scores_gemma":[0.0002028147,0.002741173,0.1106987,0.0003876311,0.0003342698,0.5074428,0.004617323,0.003263218,0.09060925,0.05024152,0.2293051,0.0001561929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096881,0.007455305,0.02247813,0.005056753,0.0007915964,0.0003873873,0.0007567254,0.0007177773,0.1526683],"genre_scores_gemma":[0.9670638,0.001335205,0.00715722,0.0008379697,0.0004363316,0.00008968903,0.000489994,0.00007314657,0.02251672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325206,"threshold_uncertainty_score":0.0443325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405385937734644,"score_gpt":0.2956094848790491,"score_spread":0.2715556255017027,"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."}}