{"id":"W2582771198","doi":"","title":"マクロオートファジーに対する負の制御因子としてER-ミトコンドリア接触部位に局在する新規ER膜蛋白,ERdj8","year":2016,"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":"Political science; Computer science","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":[0.001531639,0.0003841899,0.0003440524,0.0008807233,0.00140929,0.002551353,0.0005388916,0.0009465389,0.01841594],"category_scores_gemma":[0.001926064,0.0002554581,0.0004546311,0.0005828733,0.001955861,0.001465545,0.000886507,0.001645599,0.00772462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573558,"about_ca_system_score_gemma":0.00194355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002980832,"about_ca_topic_score_gemma":0.002547819,"domain_scores_codex":[0.9986684,0.0001636219,0.0001130326,0.0002473871,0.0006088564,0.0001987483],"domain_scores_gemma":[0.9986572,0.0002025598,0.0001600171,0.0001249289,0.0007168421,0.0001384479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009946589,0.0006242387,0.01408898,0.001419011,0.0001925353,0.002472805,0.004093225,0.001383604,0.1390248,0.3312578,0.03745896,0.4669894],"study_design_scores_gemma":[0.00008105339,0.0006789016,0.01866823,0.0002365223,0.0001436457,0.00382814,0.004122583,0.001247399,0.1552608,0.04800773,0.76759,0.0001349298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2112332,0.02102764,0.02787595,0.01138304,0.003394271,0.000252043,0.0007018959,0.0004638218,0.7236681],"genre_scores_gemma":[0.6761141,0.008707064,0.01835302,0.002716853,0.001008171,0.0001265019,0.0005454099,0.0001483854,0.2922805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01841594,"threshold_uncertainty_score":0.06160742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580037860494692,"score_gpt":0.2537297317121273,"score_spread":0.2379293531071804,"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."}}