{"id":"W4251706514","doi":"10.1515/iupac.88.0309","title":"Rotating Disk Sorptive Extraction (RDSE)","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Extraction (chemistry); Computer science; Process engineering; Sample (material); Scale (ratio); Throughput; Chromatography; Chemistry; Engineering; Physics","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":[0.003618454,0.00254554,0.002317111,0.005765462,0.0009914851,0.002743821,0.003606537,0.001596803,0.04083673],"category_scores_gemma":[0.01325646,0.0006349915,0.002353122,0.01013352,0.0004944057,0.001764084,0.00300181,0.002078015,0.05524109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487013,"about_ca_system_score_gemma":0.004922975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152166,"about_ca_topic_score_gemma":0.02334346,"domain_scores_codex":[0.9963781,0.000789443,0.0006930356,0.001131295,0.0007140152,0.000294093],"domain_scores_gemma":[0.9944974,0.001807985,0.001070564,0.001123413,0.00128698,0.0002137271],"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":[0.0006508022,0.00006720992,0.005170048,0.01614054,0.00057976,0.00008547142,0.00006718262,0.0009460711,0.001260934,0.001925407,0.943359,0.02974761],"study_design_scores_gemma":[0.0003592601,0.0000563944,0.006596334,0.001606931,0.0002205302,0.00009659937,0.00006100132,0.0004266283,0.001311367,0.002384874,0.9868291,0.00005090992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002055265,0.0003981701,0.0003596741,0.00006434424,0.00002732902,0.00004535856,0.9978434,0.0003807371,0.000675493],"genre_scores_gemma":[0.0004763475,0.0004534793,0.001264797,0.0000823417,0.000009431078,0.000219121,0.9969032,0.00008235096,0.0005087566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04083673,"threshold_uncertainty_score":0.1366124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194372821607776,"score_gpt":0.4650639870627117,"score_spread":0.433120258846634,"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."}}