{"id":"W4252255968","doi":"10.1515/iupac.81.0419","title":"Global Distillation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Ecology; Risk assessment; Biology; Data mining; Philosophy; Linguistics","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":[0.001453389,0.002841381,0.001532759,0.005227185,0.001303728,0.003860907,0.003506921,0.002390322,0.07847252],"category_scores_gemma":[0.007802289,0.0006086923,0.002383024,0.009291146,0.0007211537,0.003322576,0.003589581,0.002771208,0.1122888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999423,"about_ca_system_score_gemma":0.002864816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627113,"about_ca_topic_score_gemma":0.05418305,"domain_scores_codex":[0.9979028,0.0004008838,0.0002137234,0.0007421145,0.0004379869,0.0003024855],"domain_scores_gemma":[0.9976381,0.0005137171,0.0002120937,0.0007269694,0.0006959081,0.0002132286],"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":[0.00008257409,0.00002435247,0.001488535,0.00073583,0.00004045292,0.00002703,0.00002957959,0.0005491105,0.0001010646,0.001527761,0.990211,0.005182793],"study_design_scores_gemma":[0.0001217875,0.00001701988,0.002652535,0.0003051842,0.00002463302,0.00006250771,0.0001027603,0.0007364784,0.0002654479,0.00225563,0.993429,0.00002693612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002539455,0.0002385515,0.0001231893,0.0001654939,0.00006912272,0.0000135746,0.9968702,0.0005937443,0.001672084],"genre_scores_gemma":[0.0004810715,0.0001028952,0.0003764332,0.00006571704,0.00000948364,0.00003624501,0.9981396,0.00007934263,0.0007091716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07847252,"threshold_uncertainty_score":0.2625167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004973071906454573,"score_gpt":0.3284606342606041,"score_spread":0.3234875623541495,"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."}}