{"id":"W4251368827","doi":"10.1515/iupac.81.0643","title":"Normit","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical and Health Sciences Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00124912,0.0002770448,0.0007379761,0.0002869251,0.0001313078,0.00002569084,0.0004055347,0.0004254071,0.03414112],"category_scores_gemma":[0.001704188,0.0001552835,0.0001559129,0.0003211531,0.0004114434,0.00004750866,0.0001877976,0.0009554756,0.00003565861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003930627,"about_ca_system_score_gemma":0.004303991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001858192,"about_ca_topic_score_gemma":0.0003724819,"domain_scores_codex":[0.9948467,0.00005769391,0.00050786,0.0005327372,0.003306576,0.0007484106],"domain_scores_gemma":[0.9972402,0.0001414886,0.0001309069,0.0007932935,0.0006285567,0.001065505],"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":[0.0002438428,0.0002014047,0.00003810487,0.0006968145,0.00003105033,0.0002728515,0.000004150398,1.278996e-8,0.000003950834,0.000004816859,0.9818181,0.01668485],"study_design_scores_gemma":[0.001279725,0.000756221,0.0001561445,0.0009713363,0.00005732025,0.00007115735,0.000009471227,0.000006571793,0.000005076,0.00007113828,0.9964377,0.0001781852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006826,0.0008144572,0.00004621526,0.01288295,0.000660868,0.000454182,0.984589,0.00004189211,0.0004421851],"genre_scores_gemma":[0.000004576561,0.003675971,0.00005368103,0.002616682,0.002382926,0.00001772865,0.9857805,0.00001814048,0.005449782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03410546,"threshold_uncertainty_score":0.9667418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229733381492801,"score_gpt":0.5264371302444718,"score_spread":0.4841397964295438,"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."}}