{"id":"W2913815335","doi":"10.13020/d6bm3v","title":"integrated DIetary Supplement Knowledge base (iDISK)","year":2017,"lang":"en","type":"dataset","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Computer science; Software; File format; World Wide Web; Information retrieval; Software engineering; Database; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002475237,0.0005472089,0.0009306213,0.000289505,0.0004210723,0.0000325314,0.002128538,0.0008641909,0.0005017456],"category_scores_gemma":[0.0002580075,0.0006875484,0.000582392,0.0001933734,0.002012244,0.00005672253,0.00145619,0.0003806116,0.0001107858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007145207,"about_ca_system_score_gemma":0.0006811632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555771,"about_ca_topic_score_gemma":0.005503755,"domain_scores_codex":[0.9977808,0.0001266817,0.0003058531,0.0008889257,0.0003499996,0.0005477405],"domain_scores_gemma":[0.996893,0.0001057762,0.0007664974,0.001444063,0.000476324,0.0003143127],"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":[0.0006416384,0.000535046,0.0006587266,0.0004119865,0.0004560119,0.000247868,0.0001570136,9.148894e-7,0.0005656038,0.000005774401,0.9903153,0.00600413],"study_design_scores_gemma":[0.001929333,0.0007685706,0.0009308547,0.0003468143,0.0003467705,0.00002428397,0.003673265,0.00001675111,0.0001810724,0.00001664871,0.991124,0.0006415748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04353859,0.001490639,0.0001713901,0.0007736493,0.0003718437,0.0003255948,0.9521623,0.00003324113,0.001132704],"genre_scores_gemma":[0.01552774,0.002963148,0.001481518,0.00003227573,0.00009889856,1.863605e-7,0.9714769,0.00003145099,0.008387912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02801085,"threshold_uncertainty_score":0.9995576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464712018914607,"score_gpt":0.2384417273930529,"score_spread":0.2137946072039068,"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."}}