{"id":"W2304747571","doi":"","title":"NEWS & VIEWS 膵がん : 微小管を介してKRASおよびビタミンD受容体を標的にする","year":2016,"lang":"ja","type":"article","venue":"Cancer and Clinical Oncology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"KRAS; Environmental science; Biology; Genetics; Mutation","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006346732,0.0003541477,0.00109699,0.00007551456,0.0001092519,0.00001346437,0.0003426346,0.001438888,0.002036998],"category_scores_gemma":[0.0002895873,0.0002426215,0.0002567444,0.0001500647,0.001051295,0.0001619334,0.000140121,0.0007648522,0.0003568559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770989,"about_ca_system_score_gemma":0.0002997587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430563,"about_ca_topic_score_gemma":0.002499271,"domain_scores_codex":[0.9972469,0.0002222199,0.001163956,0.0006484325,0.00009818369,0.0006203025],"domain_scores_gemma":[0.9976673,0.001324107,0.0001458709,0.0004899137,0.0000613479,0.0003115321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001768885,0.0001449322,0.01939036,0.00007514192,0.0003427689,0.00007040167,0.0001546209,0.000004934016,0.0002281973,0.01569205,0.0240922,0.9396275],"study_design_scores_gemma":[0.003789098,0.001906391,0.0397021,0.0002855786,0.0003295814,0.00002771735,0.0004444648,0.000158406,0.00005591479,0.01566023,0.937058,0.0005825527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4942922,0.1491434,0.001339502,0.04515778,0.01259859,0.0008192576,0.0002047816,0.0007653108,0.2956792],"genre_scores_gemma":[0.778761,0.2137073,0.0003299115,0.001339665,0.001136287,0.00007109767,0.000002531874,0.0000382447,0.004613965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.939045,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07890311598717722,"score_gpt":0.3987280565452737,"score_spread":0.3198249405580964,"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."}}