{"id":"W375771535","doi":"","title":"血液学 : イマチニブによるCML治癒 : 夢の実現か?","year":2011,"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005217532,0.0002683712,0.0007881465,0.00006508685,0.00009997591,0.000007548394,0.0002878037,0.001333244,0.002665434],"category_scores_gemma":[0.0001197056,0.0002518233,0.0001773585,0.0001350576,0.0009280816,0.0001068259,0.0001166747,0.001139575,0.0001661602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008330452,"about_ca_system_score_gemma":0.0002226662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003273109,"about_ca_topic_score_gemma":0.001014102,"domain_scores_codex":[0.9980232,0.0001262068,0.0008250432,0.0004727956,0.00006735452,0.0004854551],"domain_scores_gemma":[0.9988489,0.0004129231,0.00009504223,0.0003533337,0.00005136044,0.0002384896],"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":[0.0005957889,0.0006326169,0.05657459,0.0002516803,0.001114221,0.0003594419,0.003261097,0.00001604972,0.00004447625,0.06786816,0.0132776,0.8560043],"study_design_scores_gemma":[0.007341817,0.008924581,0.4552795,0.0002798751,0.001493299,0.0001074029,0.006712423,0.002879694,0.0001930289,0.09083503,0.4241711,0.001782274],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4841097,0.04044692,0.0001604655,0.001594272,0.00554525,0.0002770103,0.00004925226,0.0003672631,0.4674498],"genre_scores_gemma":[0.9537367,0.04316724,0.0007004544,0.000612191,0.0005155249,0.00004059235,0.000003202018,0.00002779222,0.001196282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.854222,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09753528914191882,"score_gpt":0.3783835181892071,"score_spread":0.2808482290472883,"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."}}