{"id":"W4247774816","doi":"10.1515/iupac.88.0940","title":"Index, Tubular Fertility","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); Human reproduction; Computer science; Biology; Linguistics; Data mining; Genetics; 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":[0.001007698,0.00131884,0.001256522,0.003896227,0.0007414154,0.00303418,0.001713836,0.001119995,0.1829596],"category_scores_gemma":[0.0126091,0.0004855762,0.001645903,0.005209042,0.0003253487,0.002276953,0.001996263,0.001459134,0.1365371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250205,"about_ca_system_score_gemma":0.002435901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01583797,"about_ca_topic_score_gemma":0.02599967,"domain_scores_codex":[0.9986777,0.0001881029,0.0003159774,0.0004302246,0.0002329174,0.0001551862],"domain_scores_gemma":[0.9959609,0.001255399,0.000603447,0.0007661126,0.001174459,0.0002397164],"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":[0.0001188222,0.0000159978,0.003069706,0.001737343,0.00004555562,0.00002504982,0.0000355728,0.0001556092,0.00008131739,0.0008355984,0.982136,0.01174339],"study_design_scores_gemma":[0.0001438456,0.00001924568,0.007777489,0.0009316495,0.00004738843,0.0001081659,0.0001076188,0.0001551981,0.000156445,0.001856421,0.9886701,0.00002643685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001725993,0.0001944575,0.0001009137,0.0001044333,0.00005984188,0.00002768046,0.9966731,0.0002470207,0.002419875],"genre_scores_gemma":[0.001113847,0.0003787694,0.0006395106,0.0002608373,0.00004749258,0.0002034191,0.9940744,0.0001456953,0.003136033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1829596,"threshold_uncertainty_score":0.6120608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189018817875337,"score_gpt":0.4446611196528939,"score_spread":0.4327709314741405,"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."}}