{"id":"W4252633082","doi":"10.1515/iupac.88.0409","title":"Adolescence","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":[0.001158349,0.001055115,0.0009559819,0.002790445,0.0009011075,0.002913627,0.001790164,0.001276382,0.1827288],"category_scores_gemma":[0.01066769,0.000478194,0.001399947,0.005018018,0.0002910102,0.002573862,0.002107861,0.001512783,0.1676198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366821,"about_ca_system_score_gemma":0.002293453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847776,"about_ca_topic_score_gemma":0.03591202,"domain_scores_codex":[0.9984683,0.0002823259,0.0002949858,0.0004605155,0.0003053486,0.000188584],"domain_scores_gemma":[0.996349,0.0009968806,0.0003958233,0.0008023655,0.001217725,0.0002381691],"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":[0.00009813894,0.00001550595,0.002054429,0.000916138,0.00002642134,0.00002680644,0.00004854024,0.00008523296,0.00005875393,0.001334693,0.9836121,0.01172327],"study_design_scores_gemma":[0.00005236582,0.000008420625,0.003705789,0.000490405,0.0000158797,0.00005219804,0.0001038684,0.00007230329,0.00008719953,0.001128654,0.9942691,0.00001384431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002607158,0.0002557602,0.000191887,0.000225654,0.00009829336,0.00004461364,0.9920707,0.0003058813,0.006546417],"genre_scores_gemma":[0.0009787084,0.0003633884,0.0006148452,0.0003919714,0.00003592056,0.0002144233,0.9915452,0.0001412862,0.005714168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1827288,"threshold_uncertainty_score":0.6112888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179060804470825,"score_gpt":0.4518422443811463,"score_spread":0.440051636336438,"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."}}