{"id":"W4240533928","doi":"10.1515/iupac.88.0474","title":"Anodontia","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":[0.001168756,0.0009875845,0.001244173,0.00422189,0.0009016322,0.002466729,0.0016224,0.00112192,0.2664709],"category_scores_gemma":[0.010014,0.0005132019,0.001336494,0.006732686,0.0004049454,0.002282923,0.002116231,0.001314619,0.1526752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009860393,"about_ca_system_score_gemma":0.002707393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101719,"about_ca_topic_score_gemma":0.02258791,"domain_scores_codex":[0.99862,0.0002325034,0.0003532046,0.00035105,0.0003301707,0.0001129682],"domain_scores_gemma":[0.9962482,0.001555018,0.0005319496,0.0006330929,0.0008522373,0.0001795135],"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":[0.0001163816,0.00001677759,0.001572873,0.002880285,0.00003381998,0.00006431727,0.00004683404,0.0001306729,0.0001626657,0.001112306,0.9720747,0.02178838],"study_design_scores_gemma":[0.00004993945,0.00001082368,0.003442557,0.001054001,0.00002456082,0.0001170545,0.00006287199,0.00006667162,0.00008258947,0.001025398,0.9940488,0.00001464071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003133113,0.0005152257,0.0002242163,0.0002193042,0.0001487308,0.00004954799,0.9915684,0.00036194,0.006599337],"genre_scores_gemma":[0.001354516,0.001172674,0.001051515,0.0004989238,0.00006531979,0.0002905519,0.9890463,0.0002322941,0.006287941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2664709,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154044574225084,"score_gpt":0.4541229848579712,"score_spread":0.4425825391157204,"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."}}