{"id":"W2732916327","doi":"","title":"［外科，救急・集中治療領域］深在性真菌症治療におけるキャンディン系抗真菌薬の位置付けと今後の展望","year":2013,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094566,0.0002135098,0.0001818531,0.0006748202,0.001794854,0.002972625,0.0003594548,0.0008448598,0.01238919],"category_scores_gemma":[0.001990068,0.0001939204,0.0002187754,0.0004310111,0.004003292,0.00166215,0.0005838338,0.001136042,0.003447845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761891,"about_ca_system_score_gemma":0.002377695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004857132,"about_ca_topic_score_gemma":0.004001116,"domain_scores_codex":[0.9993777,0.00009669123,0.00003621749,0.0001184151,0.0003104237,0.00006045758],"domain_scores_gemma":[0.9987897,0.0003469329,0.0001318401,0.0001085407,0.0004898403,0.00013324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001283551,0.0001682183,0.005260806,0.0002690348,0.00004576668,0.0004455216,0.0045737,0.001328592,0.0163964,0.7777296,0.01222488,0.1814292],"study_design_scores_gemma":[0.00005310178,0.0004029461,0.01990919,0.0002478878,0.0001262548,0.001174878,0.007830288,0.002664434,0.04909382,0.4015414,0.5168312,0.0001247204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1077527,0.006169241,0.03528312,0.009748951,0.001211959,0.0001630035,0.0002116663,0.0001752613,0.8392841],"genre_scores_gemma":[0.7930033,0.004264266,0.01940418,0.001812693,0.0006498236,0.00008230796,0.0001040123,0.00004629001,0.1806332],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01238919,"threshold_uncertainty_score":0.04144597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266572044755,"score_gpt":0.2452722987258974,"score_spread":0.2309796330054498,"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."}}