{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006988188,0.0002742326,0.0002015388,0.0003794784,0.0007661737,0.0009324058,0.0002205262,0.0004196729,0.008455164],"category_scores_gemma":[0.000601297,0.0001624696,0.0003031127,0.000226833,0.0006447849,0.0006175543,0.0003256966,0.0006533895,0.001923001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832576,"about_ca_system_score_gemma":0.0007310155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268086,"about_ca_topic_score_gemma":0.001635665,"domain_scores_codex":[0.999603,0.00006454475,0.00002789969,0.00007826251,0.0001640846,0.00006231609],"domain_scores_gemma":[0.9996032,0.00009944892,0.00007620275,0.00003539352,0.0001358939,0.00005000482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.001732494,0.0005604778,0.0273331,0.0009993847,0.0002446646,0.002632814,0.001760859,0.002425742,0.4879527,0.06326928,0.01211696,0.3989715],"study_design_scores_gemma":[0.0001966308,0.001498179,0.04643695,0.0001643714,0.0002207318,0.005960127,0.001824112,0.002510785,0.6148936,0.02181526,0.3043679,0.0001113576],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409193,0.02459315,0.03528631,0.004595542,0.001230185,0.0003023427,0.0007160789,0.000331457,0.2920256],"genre_scores_gemma":[0.9181599,0.005713344,0.01283832,0.001115205,0.000445073,0.0001238292,0.000428946,0.0000404629,0.06113498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008455164,"threshold_uncertainty_score":0.02828532,"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."}}