{"id":"W3195324234","doi":"","title":"虚血性心疾患 3.MRIによる動脈硬化の分子イメージング","year":2013,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Internal 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":[0.0144777,0.0007580572,0.0009584858,0.005017825,0.002224528,0.004169207,0.003202951,0.005629838,0.006368972],"category_scores_gemma":[0.02260576,0.0006004259,0.0009213498,0.003401607,0.004056828,0.001718439,0.001078888,0.004176031,0.002600198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01942253,"about_ca_system_score_gemma":0.0577586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4566032,"about_ca_topic_score_gemma":0.6113171,"domain_scores_codex":[0.992227,0.0009706669,0.0006314937,0.0004813869,0.004782303,0.0009071543],"domain_scores_gemma":[0.9776765,0.004799576,0.001209332,0.000398556,0.01541336,0.0005026749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000218384,0.00004236241,0.001084386,0.01137666,0.0001694988,0.0004823476,0.0005349141,0.0003082195,0.003703315,0.05182129,0.5668004,0.3634581],"study_design_scores_gemma":[0.00002670135,0.00003897839,0.002522254,0.005293213,0.0001863883,0.0003649251,0.0002693261,0.00004142016,0.001572808,0.001945187,0.987704,0.00003477124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001796049,0.8231209,0.001141507,0.1053218,0.006838575,0.0001168148,0.0009977506,0.00005359091,0.06061307],"genre_scores_gemma":[0.04891273,0.8120456,0.003689935,0.09216379,0.004400676,0.0001905751,0.001038385,0.00007160701,0.03748666],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4566032,"threshold_uncertainty_score":0.9078909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355670488243696,"score_gpt":0.2130006023860698,"score_spread":0.1994438975036329,"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."}}