{"id":"W4252177201","doi":"10.1515/iupac.88.0669","title":"Decidual Cell","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":[0.001084189,0.001055334,0.001264572,0.003973874,0.001013582,0.00302881,0.002005079,0.001560187,0.07414579],"category_scores_gemma":[0.007516762,0.0005452906,0.001865997,0.005295773,0.0003876749,0.001823892,0.001942808,0.001664889,0.05757586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017622,"about_ca_system_score_gemma":0.002769956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052975,"about_ca_topic_score_gemma":0.02094756,"domain_scores_codex":[0.998914,0.00015235,0.0002194889,0.000321274,0.0002269301,0.0001659787],"domain_scores_gemma":[0.9975968,0.0009172441,0.00031344,0.0006121636,0.0003961263,0.0001641593],"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":[0.0002968074,0.00002661887,0.005692297,0.004046779,0.00009776473,0.0001108033,0.00007762719,0.0003711907,0.0005596369,0.001992038,0.9619766,0.02475181],"study_design_scores_gemma":[0.0001423734,0.00002035937,0.006036915,0.001164242,0.00008615148,0.000227231,0.00009260871,0.0002067435,0.0004653498,0.001985604,0.9895495,0.00002298706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004822442,0.001163041,0.0002983868,0.0001988198,0.0001220106,0.00004105391,0.9939851,0.0003938277,0.0033156],"genre_scores_gemma":[0.001649956,0.0008979956,0.00103129,0.0003526737,0.00003039796,0.000208471,0.9940453,0.00008707902,0.001696907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07414579,"threshold_uncertainty_score":0.2480424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117056262127135,"score_gpt":0.4474871281985859,"score_spread":0.4363165655773146,"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."}}