{"id":"W4245620805","doi":"10.1515/iupac.88.1430","title":"Transplacental Carcinogen","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; Philosophy; Data mining","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":[0.001568106,0.001154705,0.001358518,0.004644457,0.0007168559,0.002047406,0.001815553,0.001279499,0.06338852],"category_scores_gemma":[0.01077726,0.0005624863,0.002131374,0.006902514,0.0004518681,0.00175228,0.002161099,0.001977703,0.0370874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300067,"about_ca_system_score_gemma":0.003258317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01946328,"about_ca_topic_score_gemma":0.03470313,"domain_scores_codex":[0.9979656,0.0003432242,0.0005648152,0.000556751,0.0003979713,0.000171736],"domain_scores_gemma":[0.9939944,0.001941166,0.00112697,0.001376413,0.001307544,0.0002534857],"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":[0.0002752713,0.00003362583,0.006851856,0.008725371,0.0002207052,0.0001021078,0.00006509871,0.0004474561,0.0004214598,0.001551364,0.9582554,0.02305036],"study_design_scores_gemma":[0.0001439684,0.00002474623,0.01156362,0.002245719,0.0001519057,0.0002186186,0.00007365946,0.0001405291,0.0003095128,0.001415364,0.9836828,0.00002944719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002440344,0.0007932757,0.0001963467,0.0001009664,0.00006492796,0.00004202395,0.9965553,0.0001154617,0.001887636],"genre_scores_gemma":[0.00109625,0.0009286959,0.0006590922,0.0002454403,0.0000238803,0.0002097267,0.9950963,0.00006046872,0.001680153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9366115,"threshold_uncertainty_score":0.2120557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158937124809404,"score_gpt":0.4421122286756428,"score_spread":0.4305228574275487,"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."}}