{"id":"W4246500291","doi":"10.1007/978-3-662-49054-9_25-1","title":"2-Ketoisovaleriansäure","year":2018,"lang":"de","type":"book-chapter","venue":"","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042646,0.0005566942,0.0002997395,0.0005892742,0.0002552361,0.0007975586,0.0003596298,0.0005806731,0.01497587],"category_scores_gemma":[0.0002205252,0.0001314365,0.0002218921,0.0005368338,0.0003211345,0.0009149995,0.0006483516,0.0009565181,0.01297165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000510122,"about_ca_system_score_gemma":0.0002751049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535409,"about_ca_topic_score_gemma":0.0005986405,"domain_scores_codex":[0.9999185,0.000009290662,0.000005893604,0.00002468701,0.00003008622,0.0000117228],"domain_scores_gemma":[0.9999603,0.00001062035,0.000005649982,0.000006321467,0.000008407408,0.000008660038],"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":[0.0001586204,0.00006565345,0.0001535808,0.0007150174,0.0000353478,0.001513161,0.0001050855,0.0004435511,0.02263569,0.07547002,0.1163344,0.7823699],"study_design_scores_gemma":[0.000004246151,0.0000206766,0.00009561455,0.00005712112,0.000004448332,0.001862677,0.00001303257,0.00004480483,0.005997099,0.008956478,0.9829388,0.000005031054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008397615,0.4119991,0.02013629,0.005394008,0.01821995,0.00005200067,0.0004888966,0.001214849,0.5340974],"genre_scores_gemma":[0.06843784,0.1747411,0.008626876,0.002226781,0.003214809,0.00004859815,0.0006080843,0.0003023228,0.7417935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01497587,"threshold_uncertainty_score":0.05009931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00981125343364374,"score_gpt":0.2231614557960937,"score_spread":0.21335020236245,"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."}}