{"id":"W4255072769","doi":"10.1515/iupac.81.0699","title":"Pollutant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Pollutant; Environmental science; Ecology; Computer science; Biology; 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":[0.001488146,0.00155981,0.001183528,0.003918369,0.001015215,0.003389709,0.002660722,0.001996094,0.1325936],"category_scores_gemma":[0.01090258,0.0006132176,0.001419618,0.007205768,0.0004342795,0.002625983,0.002765891,0.002313895,0.2023822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959615,"about_ca_system_score_gemma":0.003285979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912514,"about_ca_topic_score_gemma":0.03956717,"domain_scores_codex":[0.9974056,0.0004555498,0.0003752387,0.0008330221,0.0006236216,0.0003069006],"domain_scores_gemma":[0.9958531,0.0009528126,0.000410092,0.001011216,0.001461462,0.0003113473],"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":[0.00003918399,0.00001340085,0.0008933081,0.0005748301,0.00001678101,0.00001386416,0.00002260741,0.0001386333,0.00008370595,0.0009287309,0.9935487,0.003726317],"study_design_scores_gemma":[0.00006867075,0.000009712185,0.002158255,0.0003648228,0.00001352794,0.00004699967,0.00007515799,0.0001822871,0.0001563301,0.001333905,0.9955736,0.00001666997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009935728,0.00008745301,0.00009554478,0.0001325818,0.00004343132,0.00001473127,0.9977691,0.0001770617,0.001580871],"genre_scores_gemma":[0.0002300201,0.00006766643,0.0003019178,0.00008786887,0.000007492767,0.00006031282,0.9981511,0.00004552989,0.001048049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1325936,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583725402277332,"score_gpt":0.4179228976443401,"score_spread":0.4020856436215668,"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."}}