{"id":"W3002870705","doi":"","title":"Medical Scope：IBDにおけるマイクロバイオーム最前線","year":2019,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Medicine; Business; 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":[0.001036879,0.0002419457,0.0002059992,0.00111974,0.0009306702,0.002727811,0.0003296539,0.0008362429,0.02570845],"category_scores_gemma":[0.002694429,0.0001312202,0.0002773812,0.0006261783,0.00208433,0.001364968,0.001390215,0.001154374,0.004368683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337683,"about_ca_system_score_gemma":0.002539072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580744,"about_ca_topic_score_gemma":0.001451492,"domain_scores_codex":[0.9994426,0.0001490571,0.00004402114,0.00008155438,0.0002148434,0.00006799608],"domain_scores_gemma":[0.9983103,0.0005182129,0.0001730869,0.00009588339,0.000470363,0.0004322458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000307139,0.0002458851,0.0200205,0.001338608,0.00006208667,0.001680207,0.004218481,0.0005641721,0.009387207,0.2648566,0.06461116,0.6327079],"study_design_scores_gemma":[0.00008920267,0.0003456644,0.02519439,0.0009193103,0.00006611113,0.003315548,0.004214384,0.0003855557,0.003557514,0.08649395,0.8753728,0.00004556253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.05045823,0.03817901,0.00943471,0.04200095,0.002737626,0.00023891,0.0005553012,0.0001346575,0.8562606],"genre_scores_gemma":[0.7108055,0.03928683,0.01381045,0.01165066,0.004631152,0.0002691746,0.0004039822,0.00007019577,0.2190721],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02570845,"threshold_uncertainty_score":0.0860033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231789746864262,"score_gpt":0.2621787742584953,"score_spread":0.2498608767898527,"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."}}