{"id":"W4230890999","doi":"10.1515/iupac.88.1230","title":"Prepubertal","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":[0.0006427465,0.0009367508,0.00102778,0.002380221,0.0008212505,0.001560729,0.001289793,0.0008403254,0.1003776],"category_scores_gemma":[0.006392487,0.0003810027,0.001163452,0.004591544,0.0003251989,0.001592737,0.001499964,0.001198897,0.05790872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007390854,"about_ca_system_score_gemma":0.001279779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021398,"about_ca_topic_score_gemma":0.03441231,"domain_scores_codex":[0.9991094,0.0001208778,0.0001873941,0.0002855447,0.0001555988,0.0001412163],"domain_scores_gemma":[0.9982976,0.0004232558,0.0004448459,0.0002868068,0.0004240812,0.0001233509],"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":[0.0004569361,0.0000367733,0.01112105,0.002568955,0.00009013485,0.0002398428,0.0001531017,0.0001149479,0.0002173502,0.001552343,0.9573237,0.02612491],"study_design_scores_gemma":[0.0001271014,0.00003177207,0.03130412,0.001699045,0.00006796106,0.000466411,0.000349101,0.0000815018,0.000203686,0.001660517,0.9639707,0.00003809058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00182725,0.001246397,0.0002897947,0.0002505413,0.0001765248,0.00007104014,0.9865,0.0001858663,0.00945255],"genre_scores_gemma":[0.007288563,0.001813887,0.0008124824,0.0007814423,0.0001154385,0.0003847163,0.9782953,0.0001576933,0.01035049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8996224,"threshold_uncertainty_score":0.3357967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092063041166788,"score_gpt":0.4567820115397929,"score_spread":0.445861381128125,"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."}}