{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005307567,0.0005548572,0.0005695702,0.0002638778,0.000186196,0.00002609627,0.0008644589,0.0005956865,0.01328591],"category_scores_gemma":[0.0002374654,0.0004074723,0.0002136416,0.0003640554,0.0006289408,0.0004210016,0.0001602935,0.0007389644,0.00435371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448331,"about_ca_system_score_gemma":0.0001118205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002542003,"about_ca_topic_score_gemma":0.00002115075,"domain_scores_codex":[0.9970019,0.0001103814,0.0006710189,0.0006085248,0.0005132922,0.001094819],"domain_scores_gemma":[0.9982415,0.0003666504,0.00008550186,0.000799816,0.0000668431,0.0004396678],"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":[0.0002246696,0.0004391745,0.002221928,0.0009656994,0.001725666,0.001247076,0.002440149,0.00005757973,0.07065832,0.07032658,0.4263414,0.4233518],"study_design_scores_gemma":[0.006474277,0.0004204442,0.001987648,0.001379398,0.0004801238,0.0002950184,0.0008392495,0.002764479,0.03063333,0.02679434,0.9258263,0.002105395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1693548,0.05835822,0.007924502,0.03187745,0.01360729,0.001152954,0.0004812059,0.005449243,0.7117943],"genre_scores_gemma":[0.9838692,0.009001051,0.000403205,0.0003344431,0.0009089442,0.00005936107,0.00001056712,0.0000907143,0.005322496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8145144,"threshold_uncertainty_score":0.9998377,"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."}}