{"id":"W4234073625","doi":"10.1515/iupac.78.0554","title":"Sample Cleanup","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Sample (material); Pesticide; Chemical nomenclature; Relation (database); Computer science; Data science; Management science; Engineering; Ecology; Chemistry; Data mining; Biology","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":[0.002739568,0.001709227,0.00162683,0.006705369,0.001236351,0.002951426,0.002882361,0.002315577,0.121458],"category_scores_gemma":[0.01691554,0.0007728566,0.001733163,0.007931827,0.0006108857,0.002323397,0.002710116,0.002532807,0.1028705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200139,"about_ca_system_score_gemma":0.005085364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935731,"about_ca_topic_score_gemma":0.04165798,"domain_scores_codex":[0.9972082,0.0004429055,0.0006602042,0.0008229241,0.0006253776,0.0002403566],"domain_scores_gemma":[0.9932417,0.002205607,0.0007192898,0.001428984,0.002069336,0.0003349838],"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":[0.0001179098,0.00002777879,0.001186933,0.002401555,0.00004607246,0.00004404561,0.00004955455,0.0002022274,0.0002764582,0.0008550769,0.9872561,0.007536402],"study_design_scores_gemma":[0.0001534601,0.00001629529,0.002650811,0.0008977761,0.00003460201,0.0000611206,0.00007851334,0.0001383786,0.0003480299,0.001339314,0.9942544,0.00002730851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001003608,0.0001365314,0.0001667725,0.00008055405,0.0000279083,0.0000543815,0.9983926,0.0002358834,0.0008049987],"genre_scores_gemma":[0.0003016736,0.0001431004,0.0008318554,0.0001093555,0.000008198523,0.0004517284,0.9971801,0.00009199094,0.0008818959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.121458,"threshold_uncertainty_score":0.4063175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791056726002556,"score_gpt":0.3571301275107852,"score_spread":0.3392195602507596,"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."}}