{"id":"W2598741247","doi":"","title":"脳18F-FDG-PETによる診断","year":2014,"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":"Positron emission tomography; Computer science; Medicine; Nuclear medicine","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":[0.001530135,0.0006629131,0.0004217116,0.0006299636,0.000666473,0.00187825,0.0003845301,0.001570279,0.006501638],"category_scores_gemma":[0.002274919,0.0004307466,0.0005112043,0.0004173916,0.001093077,0.0009734079,0.0003459967,0.0009946784,0.00321538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000563075,"about_ca_system_score_gemma":0.0007853733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224184,"about_ca_topic_score_gemma":0.00183515,"domain_scores_codex":[0.9994335,0.0001181953,0.00004806422,0.0001241811,0.0001978606,0.00007825333],"domain_scores_gemma":[0.9991832,0.000403775,0.00009584668,0.0001137672,0.0001586311,0.00004460857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002060076,0.0003970761,0.03378471,0.001220846,0.0004073936,0.01723034,0.0008003018,0.002239291,0.4067886,0.02461428,0.01404213,0.496415],"study_design_scores_gemma":[0.0002768171,0.001574134,0.03576605,0.000580854,0.000876361,0.06023244,0.001208209,0.00400878,0.5557308,0.02475171,0.3148356,0.0001583424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5308087,0.08032896,0.1420938,0.01214255,0.003632629,0.0006777506,0.001970507,0.0007631571,0.2275819],"genre_scores_gemma":[0.894135,0.02007676,0.04158106,0.005010684,0.0007300831,0.0002639447,0.001156993,0.000175609,0.03686989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006501638,"threshold_uncertainty_score":0.02175015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337233202845525,"score_gpt":0.2486309213330573,"score_spread":0.2352585893046021,"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."}}