{"id":"W4240499375","doi":"10.1515/iupac.88.1237","title":"Primitive Node","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":[0.0009635327,0.001631705,0.001168082,0.003432361,0.001125202,0.0036489,0.002588962,0.001931138,0.1948795],"category_scores_gemma":[0.009513684,0.0007107909,0.001725418,0.00464513,0.0004423336,0.004207169,0.002680222,0.001779154,0.2421016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511883,"about_ca_system_score_gemma":0.002687791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428058,"about_ca_topic_score_gemma":0.02872939,"domain_scores_codex":[0.9987909,0.000184666,0.0001800055,0.0004601064,0.000222346,0.0001620329],"domain_scores_gemma":[0.9977093,0.000838502,0.0001388075,0.0006196855,0.0005335106,0.0001601246],"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":[0.00008167437,0.0000128778,0.0008473686,0.001076167,0.00002382061,0.00003956957,0.00004974413,0.0003242207,0.0001455723,0.001922968,0.9855232,0.009952803],"study_design_scores_gemma":[0.00005133086,0.00001106503,0.0009750331,0.0003522646,0.00001581651,0.00007278551,0.000107852,0.0004908185,0.000219486,0.003778154,0.9939091,0.00001629594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001924265,0.0002041736,0.0005391202,0.0002268288,0.00009497374,0.00004956288,0.9913198,0.001649671,0.005723394],"genre_scores_gemma":[0.0008195069,0.0002519953,0.001689505,0.0002138955,0.00001917563,0.0001507172,0.9938691,0.000329892,0.002656185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1948795,"threshold_uncertainty_score":0.6519368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253967015807283,"score_gpt":0.4564421675135338,"score_spread":0.4439024973554609,"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."}}