{"id":"W4256721537","doi":"10.1007/978-3-662-48986-4_25","title":"2-Ketoisovaleriansäure","year":2019,"lang":"de","type":"book-chapter","venue":"Springer Reference Medizin","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004193179,0.001074487,0.0009846129,0.0001876955,0.0001302327,0.0000997056,0.0011158,0.001640947,0.005379084],"category_scores_gemma":[0.0001054981,0.001052207,0.0004268845,0.00006249322,0.0003851621,0.000006810554,0.0006225616,0.0008185966,0.0082437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000140947,"about_ca_system_score_gemma":0.0005863318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003143537,"about_ca_topic_score_gemma":0.00008817328,"domain_scores_codex":[0.9958268,0.00008119518,0.0008179267,0.001693012,0.0006996627,0.000881388],"domain_scores_gemma":[0.9968317,0.00002592868,0.0004703861,0.002032239,0.0002495795,0.0003901938],"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":[0.001977891,0.0006360097,0.005656321,0.003111066,0.005214685,0.0002029308,0.0008330944,0.0001203531,0.2775953,0.2874772,0.071195,0.3459801],"study_design_scores_gemma":[0.0009186192,0.000343938,0.0008943476,0.0002742057,0.0002914969,0.000009158227,0.00006112672,0.00000658612,0.005820879,0.0006278452,0.989526,0.001225818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02834192,0.07427286,0.0004371513,0.0006629445,0.006676008,0.001452237,0.0005729067,0.00006646734,0.8875175],"genre_scores_gemma":[0.2021347,0.07685477,0.001415203,0.001512509,0.003448882,0.00005640327,0.002652177,0.0004391237,0.7114862],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.918331,"threshold_uncertainty_score":0.9996551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070339552958566,"score_gpt":0.2419530567702705,"score_spread":0.2212496612406848,"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."}}