{"id":"W4246689064","doi":"10.1515/iupac.78.0461","title":"Persistent Organic Pollutant (POP)","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; Pesticide; Relation (database); Computer science; Environmental chemistry; Management science; Engineering; Chemistry; Ecology; Biology; 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":[0.0009231194,0.001569545,0.00141745,0.004721676,0.0006821303,0.001838828,0.002337734,0.001460461,0.05665629],"category_scores_gemma":[0.00599225,0.0004715136,0.001278174,0.01078905,0.0003339432,0.001789686,0.001920752,0.001544074,0.05268301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173276,"about_ca_system_score_gemma":0.002826056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03093216,"about_ca_topic_score_gemma":0.04877088,"domain_scores_codex":[0.9987909,0.0001606747,0.0002768559,0.0003670894,0.0002928239,0.0001116832],"domain_scores_gemma":[0.9975133,0.0007471623,0.0004811182,0.0003877166,0.000716164,0.0001545313],"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":[0.00007593534,0.00001857581,0.002262027,0.002935585,0.0000601418,0.00004802034,0.00004137587,0.0003279336,0.0001860176,0.0009718089,0.9867504,0.006322125],"study_design_scores_gemma":[0.00007087071,0.0000119616,0.005296205,0.0007716949,0.00004000588,0.00006631314,0.0000607232,0.0001317787,0.0001732169,0.0009099077,0.9924469,0.00002046844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006670326,0.0001271397,0.00003940359,0.0000379872,0.000009071526,0.000006941821,0.9992198,0.00004318099,0.0004497979],"genre_scores_gemma":[0.0003255017,0.0002084482,0.0002101224,0.00006635919,0.000004964027,0.00006050289,0.9986504,0.00001763268,0.0004561055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05665629,"threshold_uncertainty_score":0.1895342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095255402597799,"score_gpt":0.3209980710357485,"score_spread":0.3100455170097705,"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."}}