{"id":"W2333265446","doi":"","title":"Data Integration in the Life Sciences: 9th International Conference, DILS 2013, Montreal, Canada, July 11-12, 2013, Proceedings","year":2013,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interoperability; Ontology; Computer science; World Wide Web; Library science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000827125,0.0003354706,0.0002682919,0.0001586481,0.0001349758,0.0002500515,0.002648256,0.000387845,0.00007966757],"category_scores_gemma":[0.0002615876,0.0002323021,0.00006322147,0.00003806727,0.0005432122,0.00001652947,0.0008487634,0.0004745345,0.00004684434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008078264,"about_ca_system_score_gemma":0.002906616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06471945,"about_ca_topic_score_gemma":0.5744858,"domain_scores_codex":[0.9972805,0.00003126773,0.0005565846,0.0006077127,0.001031029,0.000492864],"domain_scores_gemma":[0.9985577,0.00003120353,0.000254273,0.000628454,0.0003251588,0.0002031595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001563617,0.00002541928,0.0000791416,0.00006204319,0.00005034537,0.000002912838,0.0001463468,7.857367e-7,0.0007589097,0.0004271976,0.9901008,0.008330452],"study_design_scores_gemma":[0.0003108511,0.0001407721,0.0003678507,0.0001582774,0.00002293098,0.000005848801,0.0002910065,0.0011373,0.0003697365,0.0004776939,0.9963968,0.0003208821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003411371,0.001054134,0.0002721905,0.003556426,0.00169394,0.001519371,0.0008653857,0.00002146731,0.9876057],"genre_scores_gemma":[0.05052387,0.003324174,0.001216165,0.002550616,0.002322151,0.0001734975,0.003439051,0.00007409459,0.9363764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5097663,"threshold_uncertainty_score":0.9473003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04728180031599519,"score_gpt":0.283334902993733,"score_spread":0.2360531026777378,"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."}}