{"id":"W4242262372","doi":"10.1515/iupac.88.1222","title":"Pre-Eclampsia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","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":[],"consensus_categories":[],"category_scores_codex":[0.001022355,0.0007351944,0.001173297,0.002959653,0.0005104211,0.001588415,0.001299298,0.001007844,0.04761154],"category_scores_gemma":[0.01124562,0.0004369275,0.001461145,0.005708748,0.000227557,0.001159519,0.001406141,0.001881808,0.01944365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009089849,"about_ca_system_score_gemma":0.001881589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01565824,"about_ca_topic_score_gemma":0.02261377,"domain_scores_codex":[0.9984364,0.0002607453,0.0005434627,0.0003731501,0.0002362222,0.0001500177],"domain_scores_gemma":[0.9954965,0.001420378,0.001143348,0.0007155144,0.001001911,0.0002223178],"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":[0.0004233959,0.00003263179,0.01143419,0.007530954,0.0002267507,0.0001233368,0.00008877865,0.0002252837,0.000146028,0.001437332,0.9597304,0.01860082],"study_design_scores_gemma":[0.0005941381,0.00004897551,0.06209546,0.00710731,0.000268374,0.0004605325,0.0002486508,0.0003133394,0.0002935133,0.002282833,0.9262244,0.00006242534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005305388,0.0006826039,0.000152533,0.0001547454,0.00005819015,0.00007553683,0.9958966,0.00007119434,0.002378108],"genre_scores_gemma":[0.002757062,0.001387875,0.0006162305,0.000378052,0.00005380984,0.0006654125,0.9921263,0.00004982219,0.001965339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04761154,"threshold_uncertainty_score":0.1592764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121613441685231,"score_gpt":0.4534427604285694,"score_spread":0.4422266260117171,"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."}}