{"id":"W4244208918","doi":"10.1515/iupac.88.1170","title":"Papanicolaou Smear","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); Medicine; 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":[0.001215131,0.0008773693,0.001555027,0.004364642,0.0007103742,0.001814929,0.001956969,0.001249151,0.07049511],"category_scores_gemma":[0.0112819,0.0004251342,0.001008282,0.005804379,0.0003429237,0.001470135,0.001595727,0.002035748,0.04208061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053098,"about_ca_system_score_gemma":0.001697284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581228,"about_ca_topic_score_gemma":0.0194542,"domain_scores_codex":[0.9984523,0.0002265822,0.0004303507,0.0004639679,0.0002585151,0.0001682621],"domain_scores_gemma":[0.9954686,0.0008695988,0.0007945658,0.001034245,0.001590536,0.0002423756],"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":[0.0002874715,0.00003247675,0.009829645,0.001415643,0.00009228977,0.0001748922,0.00004979191,0.0001807942,0.0001877057,0.0009719296,0.9669175,0.01985988],"study_design_scores_gemma":[0.0003217303,0.00004421681,0.04507732,0.00246125,0.0001306399,0.0008961683,0.0003083123,0.0004780948,0.0004652762,0.004355109,0.9453861,0.00007585349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001229339,0.000968983,0.0004982449,0.0003961535,0.0001050894,0.0002312471,0.9886984,0.0003844242,0.007488103],"genre_scores_gemma":[0.008174334,0.002016252,0.002204638,0.00100032,0.0001346964,0.001154781,0.977763,0.0001874931,0.007364556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07049511,"threshold_uncertainty_score":0.2358297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237576975166204,"score_gpt":0.4560383404440885,"score_spread":0.4436625706924264,"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."}}