{"id":"W4243188011","doi":"10.1515/iupac.81.0171","title":"Chlorinity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Environmental chemistry; Ecology; Environmental science; Computer science; Risk assessment; Biology; Chemistry; 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":[0.0009434058,0.001933446,0.001294761,0.004100718,0.001178206,0.003603086,0.002738533,0.001790542,0.06967147],"category_scores_gemma":[0.00622409,0.0005790369,0.001427324,0.006814896,0.0004992275,0.002706788,0.002672555,0.002484904,0.1109846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020112,"about_ca_system_score_gemma":0.002484664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539919,"about_ca_topic_score_gemma":0.0506547,"domain_scores_codex":[0.9983276,0.0002485897,0.0002059989,0.0005440971,0.0004461393,0.000227632],"domain_scores_gemma":[0.9973706,0.0005947494,0.0003125327,0.0006629296,0.0008405379,0.0002185432],"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":[0.00008597327,0.00002190206,0.002033808,0.00111178,0.00002565656,0.00003123808,0.00004373427,0.0003198821,0.0001523591,0.001377524,0.9881196,0.006676505],"study_design_scores_gemma":[0.00006548365,0.000009142581,0.003548448,0.0003774856,0.00001327747,0.00006102496,0.00008296308,0.0002629851,0.0002209431,0.001125956,0.9942136,0.00001854229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002297727,0.0002121885,0.000110647,0.000133658,0.00003221749,0.00001434028,0.9963894,0.0003821055,0.002495635],"genre_scores_gemma":[0.0004508167,0.0001529962,0.0003450784,0.00007995323,0.00000717041,0.00004905496,0.9978794,0.00007042254,0.0009651253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06967147,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133151325038156,"score_gpt":0.3635258494247858,"score_spread":0.3521943361744043,"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."}}