{"id":"W4253783644","doi":"10.1515/iupac.88.0791","title":"Fallopian Tube","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007151114,0.001117794,0.00132399,0.002950347,0.0005361424,0.001793819,0.001719645,0.001299762,0.07375263],"category_scores_gemma":[0.009084716,0.0004805113,0.001589337,0.004606005,0.0003164137,0.001186476,0.001509518,0.001385738,0.04445808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234023,"about_ca_system_score_gemma":0.002229006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847944,"about_ca_topic_score_gemma":0.02839475,"domain_scores_codex":[0.998969,0.0001597392,0.0002877984,0.0002800357,0.0002005177,0.0001029471],"domain_scores_gemma":[0.9967489,0.001021108,0.0007193598,0.0005355784,0.0008140096,0.0001610205],"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":[0.0003500926,0.00002180465,0.006205149,0.005017229,0.0001345974,0.0000961129,0.00003345422,0.0004375502,0.000157624,0.0009619741,0.9649057,0.02167857],"study_design_scores_gemma":[0.0004505355,0.00004445462,0.02516118,0.004639761,0.0001788315,0.0004983324,0.0001119369,0.0004051242,0.0003434671,0.002093366,0.9660221,0.00005097014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003565391,0.0006611025,0.0001508749,0.0001111777,0.00004705363,0.00004861148,0.9963269,0.0001324096,0.002165475],"genre_scores_gemma":[0.001900325,0.0008789287,0.0006597132,0.0002925757,0.00003188691,0.0002965568,0.9941486,0.00005402551,0.001737429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9262474,"threshold_uncertainty_score":0.2467272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361122666999418,"score_gpt":0.4497467291446504,"score_spread":0.4261355024746563,"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."}}