{"id":"W4245143117","doi":"10.1515/iupac.88.0337","title":"Stripping Phase","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":"Computer science; Extraction (chemistry); Stripping (fiber); Process engineering; Sample preparation; Sample (material); Chromatography; Chemistry; Engineering; Mechanical engineering","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":[0.002810938,0.002690972,0.002355469,0.00414793,0.001108541,0.003247695,0.003806211,0.002273973,0.06560384],"category_scores_gemma":[0.01090567,0.0007336896,0.002781025,0.006291342,0.0004601552,0.002186069,0.00227192,0.002233561,0.08929443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440815,"about_ca_system_score_gemma":0.004226533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191042,"about_ca_topic_score_gemma":0.02368124,"domain_scores_codex":[0.9968184,0.0005760035,0.0005148481,0.001195833,0.0005863651,0.0003085189],"domain_scores_gemma":[0.9951558,0.001732865,0.0007194687,0.001109235,0.001112606,0.0001700146],"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":[0.001054722,0.0001055585,0.005386916,0.01416352,0.0005587509,0.0001203249,0.00007810315,0.001159718,0.001930823,0.002252324,0.931471,0.04171833],"study_design_scores_gemma":[0.0003115692,0.00006617118,0.004265704,0.001107847,0.0002537754,0.0001250104,0.00006029765,0.000500951,0.002194401,0.002886944,0.9881854,0.00004193915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004837874,0.0007424488,0.0008349113,0.0001283746,0.00006529772,0.0000965613,0.9948258,0.0009684595,0.001854422],"genre_scores_gemma":[0.001237468,0.0007000826,0.002294621,0.0002255566,0.00002304239,0.0003496544,0.9934613,0.0002075756,0.001500763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06560384,"threshold_uncertainty_score":0.2194667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158593994952404,"score_gpt":0.48889835058828,"score_spread":0.4473124106387559,"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."}}