{"id":"W3213157853","doi":"","title":"Medical Scope：1型糖尿病患者における移行期医療の現状","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); Computer science; Business","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":[0.001327582,0.0002349888,0.000195455,0.0009446727,0.001432017,0.002949906,0.0003713454,0.001509613,0.01618774],"category_scores_gemma":[0.002961383,0.0001668985,0.0002937689,0.0005679097,0.004289049,0.001697295,0.001421115,0.001592013,0.002856334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453464,"about_ca_system_score_gemma":0.003427563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580877,"about_ca_topic_score_gemma":0.002484699,"domain_scores_codex":[0.9992788,0.0001964776,0.00004374277,0.0001031444,0.0003004148,0.00007742525],"domain_scores_gemma":[0.998584,0.0006168461,0.0001522589,0.00007244484,0.0003696073,0.0002048287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001161279,0.0001457842,0.006151048,0.0005978708,0.00002721166,0.001050195,0.006907936,0.0005047699,0.006356878,0.7122744,0.04578626,0.2200815],"study_design_scores_gemma":[0.00005524313,0.0002638421,0.01400265,0.0006135073,0.00005203523,0.001732349,0.005195339,0.0003994029,0.004562203,0.2080982,0.7649699,0.0000553947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03460763,0.01418704,0.008757472,0.0403087,0.001532063,0.0001775912,0.0002210867,0.00008152716,0.9001269],"genre_scores_gemma":[0.6988203,0.01770418,0.01080718,0.01330559,0.002963803,0.0002452267,0.000211801,0.00004699193,0.255895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01618774,"threshold_uncertainty_score":0.05415344,"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."}}