{"id":"W4254389786","doi":"10.1515/iupac.78.0572","title":"Sorption","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; Chemical nomenclature; Pesticide; Relation (database); Computer science; Environmental chemistry; Management science; Data science; Chemistry; Engineering; Ecology; Data mining; Biology; Organic chemistry","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":[0.00119733,0.001958227,0.001358541,0.00458198,0.001012025,0.003000662,0.003162503,0.001816578,0.1517264],"category_scores_gemma":[0.00810551,0.0006163351,0.001679031,0.007298213,0.0004164578,0.002743039,0.002085493,0.001870936,0.1727119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063811,"about_ca_system_score_gemma":0.003287081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02564212,"about_ca_topic_score_gemma":0.0519885,"domain_scores_codex":[0.9983367,0.0002564795,0.0002816873,0.000532438,0.0004293,0.0001634628],"domain_scores_gemma":[0.9970788,0.0008174005,0.0003350319,0.0006314744,0.0009486452,0.0001887048],"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":[0.00005487493,0.00001724906,0.0008465879,0.00109674,0.00002558847,0.00002219441,0.00002606145,0.0002173368,0.0001100106,0.000940546,0.9915705,0.00507238],"study_design_scores_gemma":[0.00006655398,0.000009011905,0.001808727,0.0004625729,0.00001783612,0.00004070478,0.00005513195,0.0001718806,0.0001546647,0.001332455,0.9958614,0.00001906712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000693656,0.000103953,0.00008609987,0.00007787249,0.00001959901,0.00001357325,0.9981782,0.0002007775,0.001250506],"genre_scores_gemma":[0.0002603811,0.0001216773,0.0002926926,0.00008480741,0.000005856009,0.00007073892,0.9980957,0.00005908182,0.001009053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1517264,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605804027402202,"score_gpt":0.3555179785528675,"score_spread":0.3394599382788455,"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."}}