{"id":"W4252040629","doi":"10.1515/iupac.78.0225","title":"Contaminant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Management science; Environmental chemistry; Engineering; Chemistry; Data mining","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":[0.001273807,0.001632276,0.001237065,0.005347766,0.000886526,0.002764246,0.00255342,0.001821345,0.1305474],"category_scores_gemma":[0.00929166,0.0005521131,0.001387686,0.009111252,0.0004116654,0.002332201,0.002019578,0.001795264,0.1296643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178872,"about_ca_system_score_gemma":0.003566049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507266,"about_ca_topic_score_gemma":0.04709271,"domain_scores_codex":[0.998181,0.0003117803,0.0003256908,0.0005824133,0.0004254401,0.0001737605],"domain_scores_gemma":[0.9965258,0.001125695,0.0004407213,0.0006477794,0.001039445,0.0002204989],"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":[0.00004417861,0.00001256263,0.0008710973,0.001132486,0.00002762044,0.00002306058,0.00002581596,0.000189494,0.00009394653,0.0008723518,0.9924683,0.0042391],"study_design_scores_gemma":[0.0000602591,0.000008322758,0.001870372,0.0005004193,0.00001989133,0.00004523169,0.00005515014,0.0001293108,0.0001178361,0.00113727,0.9960397,0.00001628563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005806682,0.0001092561,0.00007109443,0.00007642106,0.0000182956,0.00001104641,0.9987207,0.0001163514,0.0008187442],"genre_scores_gemma":[0.0002315002,0.000113471,0.0002567395,0.00009084726,0.000005720234,0.00007533521,0.9984714,0.00004089364,0.0007140394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1305474,"threshold_uncertainty_score":0.4367244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103644432689355,"score_gpt":0.3486510372099078,"score_spread":0.3382865939409723,"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."}}