{"id":"W4253972012","doi":"10.1515/iupac.88.1002","title":"Lyon Hypothesis","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":[],"consensus_categories":[],"category_scores_codex":[0.002319755,0.001391185,0.001382861,0.00357774,0.00146716,0.005928753,0.002613449,0.002190666,0.2954835],"category_scores_gemma":[0.02026551,0.0006312479,0.002303868,0.005301198,0.0007069326,0.004754324,0.002930182,0.002819088,0.2082227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156014,"about_ca_system_score_gemma":0.003756117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01563703,"about_ca_topic_score_gemma":0.01731645,"domain_scores_codex":[0.9965076,0.0007131848,0.0005090178,0.001216835,0.0005807789,0.0004726179],"domain_scores_gemma":[0.9942069,0.002142195,0.000589657,0.001548169,0.001148458,0.0003645891],"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":[0.0002986054,0.00003418387,0.005593605,0.00124431,0.00009128174,0.00008314064,0.000126166,0.0002917925,0.00006425021,0.01119366,0.9599732,0.02100587],"study_design_scores_gemma":[0.0001142183,0.00001498748,0.003765063,0.0006975494,0.00004031266,0.0001077114,0.0001924327,0.0001862228,0.00008756333,0.006416408,0.9883572,0.00002028746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001370907,0.001331649,0.001158071,0.001611564,0.0006480017,0.0001487691,0.9501176,0.0009256732,0.0426878],"genre_scores_gemma":[0.008394562,0.001413071,0.002160129,0.001970924,0.0003439214,0.0006709399,0.9601276,0.0006516046,0.02426719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2954835,"threshold_uncertainty_score":0.9884909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600828669821984,"score_gpt":0.4419295043900593,"score_spread":0.4259212176918394,"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."}}