{"id":"W3027346379","doi":"","title":"Medical Scope：人工膵臓様デバイスによる血糖管理の未来","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); 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":[0.001051171,0.0002199024,0.0002144675,0.0009426923,0.0007871313,0.001923906,0.0003589848,0.000661454,0.007839145],"category_scores_gemma":[0.003212605,0.0001321157,0.00022757,0.0005530253,0.00257378,0.00150339,0.0008478319,0.0009290021,0.001072447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274087,"about_ca_system_score_gemma":0.002117242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103781,"about_ca_topic_score_gemma":0.001867275,"domain_scores_codex":[0.9994786,0.0001534718,0.00003384274,0.00008912243,0.000199607,0.00004541115],"domain_scores_gemma":[0.9984722,0.0006738,0.0002016082,0.00009746859,0.0003380623,0.0002169028],"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":[0.0003066028,0.0003131567,0.03015512,0.0009604727,0.00009394011,0.0009938052,0.007542317,0.001923512,0.01745383,0.3839313,0.01505201,0.541274],"study_design_scores_gemma":[0.000193299,0.0009917731,0.1229337,0.001163786,0.000292917,0.003205465,0.01375448,0.004009526,0.02263661,0.4782287,0.3524202,0.0001695186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2219157,0.01505125,0.03809026,0.02410604,0.0008977838,0.0004162235,0.0005157705,0.0002236618,0.6987832],"genre_scores_gemma":[0.934144,0.005195819,0.01976827,0.001977468,0.0006412144,0.0001805488,0.00009858765,0.00002909252,0.03796509],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007839145,"threshold_uncertainty_score":0.02622455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123130734711566,"score_gpt":0.2623126927252281,"score_spread":0.2499996192540715,"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."}}