{"id":"W2765290632","doi":"","title":"フレイルの概念・現状（疫学・診断法）と展望","year":2017,"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":"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":[0.00042939,0.0003661553,0.0004274898,0.0001172382,0.0006851913,0.00009248349,0.001385898,0.0004367346,0.004649539],"category_scores_gemma":[0.0003232981,0.000367678,0.0001406899,0.00007014295,0.0006701486,0.0004276107,0.0002320378,0.001071247,0.001531565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005081245,"about_ca_system_score_gemma":0.00007637803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001295581,"about_ca_topic_score_gemma":0.00004287984,"domain_scores_codex":[0.9981222,0.00004284146,0.0003931136,0.0003989196,0.0003369876,0.0007059058],"domain_scores_gemma":[0.9982088,0.00008666624,0.0001110403,0.001265452,0.00004057648,0.0002874842],"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":[0.0002546599,0.000623231,0.007487745,0.002655523,0.002666365,0.003412955,0.007831938,0.0003672955,0.01671749,0.07878307,0.4758015,0.4033982],"study_design_scores_gemma":[0.00665451,0.000324272,0.03015654,0.0009869449,0.0007885847,0.0003060184,0.002191806,0.03846638,0.01762597,0.03053268,0.869381,0.00258528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2324104,0.02865065,0.0005219514,0.01299365,0.009842341,0.0005141622,0.0001227942,0.001516943,0.7134271],"genre_scores_gemma":[0.9908715,0.005827884,0.0003184596,0.0001812882,0.0008853429,0.00003037554,0.00001420151,0.00004967096,0.001821281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7584611,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}