{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006982,0.001441823,0.001079884,0.005331927,0.0005638836,0.001695944,0.002828586,0.001703657,0.01989922],"category_scores_gemma":[0.004952094,0.0006039991,0.001247745,0.007973849,0.0003434946,0.001619144,0.00190544,0.001563878,0.01395138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734317,"about_ca_system_score_gemma":0.003819652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161202,"about_ca_topic_score_gemma":0.03839487,"domain_scores_codex":[0.9992766,0.0001142817,0.0001293086,0.0002220623,0.0001982929,0.00005939824],"domain_scores_gemma":[0.9987123,0.0004592717,0.0001739369,0.0002452619,0.0002882787,0.0001210317],"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":[0.0006303688,0.0002863849,0.006624759,0.007334328,0.0003264302,0.0004242319,0.0001616846,0.004302156,0.001426528,0.004926173,0.9220175,0.05153942],"study_design_scores_gemma":[0.0002625494,0.00004347073,0.004771085,0.0006648298,0.0001661936,0.0002470402,0.0001056071,0.001788111,0.001279617,0.002823517,0.9878051,0.00004278164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001221037,0.0005835347,0.0009663855,0.000201429,0.0000273797,0.00009327749,0.9933923,0.0008997633,0.002614866],"genre_scores_gemma":[0.002060226,0.0004916759,0.003223439,0.0001188053,0.000005425012,0.0002032225,0.9931176,0.00005674527,0.0007229394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02161202,"threshold_uncertainty_score":0.06656951,"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."}}