{"id":"W2601332077","doi":"","title":"高齢者糖尿病のトータルマネージメント：新「高齢者糖尿病の血糖コントロール目標」における DPP-4阻害薬の位置付け","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":"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":[0.000685501,0.0006919676,0.0007101211,0.0003327728,0.0002431702,0.00003659266,0.00107009,0.0007203736,0.01388217],"category_scores_gemma":[0.0003199172,0.0005195443,0.000262959,0.0004493387,0.0007656649,0.0005085525,0.0002107755,0.0009234068,0.004705798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650304,"about_ca_system_score_gemma":0.0001475541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003990822,"about_ca_topic_score_gemma":0.00002460032,"domain_scores_codex":[0.9963025,0.0001432407,0.0008283822,0.0007577574,0.0006355206,0.00133255],"domain_scores_gemma":[0.9978601,0.0004149143,0.0001128007,0.0009838948,0.00008789689,0.0005404018],"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":[0.0003656378,0.0006439002,0.002663095,0.001347813,0.002315529,0.001709435,0.003655584,0.0001025089,0.09563231,0.0790543,0.416758,0.3957519],"study_design_scores_gemma":[0.009565507,0.0006431922,0.002892635,0.00172704,0.0007004376,0.0004459012,0.001405999,0.004250691,0.03847428,0.03980622,0.8969971,0.003091013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2708324,0.06770506,0.009830686,0.04162579,0.01649165,0.001627941,0.0006593692,0.006719374,0.5845078],"genre_scores_gemma":[0.9823626,0.01106435,0.0004367771,0.0004381028,0.001131754,0.00008187917,0.00001618527,0.00011472,0.004353651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7115302,"threshold_uncertainty_score":0.9997256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582649590257975,"score_gpt":0.253217112530854,"score_spread":0.2373906166282743,"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."}}