{"id":"W2244767150","doi":"","title":"進行・再発の薬物療法 2型糖尿病合併症患者におけるeverolimus・exemestane併用療法と副作用マネジメント（臨床報告）","year":2015,"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":"Exemestane; Everolimus; Medicine; Internal medicine; Breast cancer; Cancer; Aromatase","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":[0.00096566,0.0006629345,0.0007571932,0.000311227,0.0001660304,0.00005375722,0.001007992,0.0006908096,0.002582649],"category_scores_gemma":[0.000297298,0.0006789239,0.0001866024,0.0005822788,0.0005257962,0.0004750285,0.0002075855,0.001511556,0.002607734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131567,"about_ca_system_score_gemma":0.0003250375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109319,"about_ca_topic_score_gemma":0.00003593966,"domain_scores_codex":[0.9964065,0.0001554189,0.0007858169,0.0006389807,0.0008236518,0.001189657],"domain_scores_gemma":[0.9977814,0.0001614329,0.0001040843,0.0008842457,0.0001128922,0.0009559541],"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":[0.0005189687,0.0006994315,0.001444461,0.001243568,0.001771253,0.003181012,0.01407122,0.003582032,0.003757353,0.04853059,0.8771964,0.04400377],"study_design_scores_gemma":[0.008342059,0.0008189507,0.000632447,0.0004499853,0.0007183073,0.0006886932,0.006138575,0.05015677,0.00422923,0.0441111,0.8812707,0.002443184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1727601,0.0990044,0.002945442,0.01570759,0.01607414,0.001386985,0.0002936743,0.005434864,0.6863928],"genre_scores_gemma":[0.9923424,0.003820143,0.0006807988,0.0006446635,0.001109274,0.00005502773,0.0000613607,0.0001109503,0.001175381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195823,"threshold_uncertainty_score":0.9995662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867139437275886,"score_gpt":0.2691188144357728,"score_spread":0.2404474200630139,"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."}}