{"id":"W4233255447","doi":"10.1515/iupac.73.0138","title":"Chemical Refining","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Refining (metallurgy); Table (database); Product (mathematics); Chemistry; Food science; Commission; Biochemistry; Organic chemistry; Polymer science; Biotechnology; Computer science; Biology; Mathematics; Political science; Data mining; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001592442,0.0003259573,0.0003313303,0.00001666385,0.00004270543,0.00002157686,0.0004673268,0.0003618512,0.02367296],"category_scores_gemma":[0.0003122481,0.0002603365,0.0001196489,0.0001165471,0.0001661456,0.00006023367,0.000433969,0.0004760878,0.00001956142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006241623,"about_ca_system_score_gemma":0.00004219795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003842169,"about_ca_topic_score_gemma":0.00001542596,"domain_scores_codex":[0.9980834,0.000008221482,0.0002908592,0.0004781123,0.0007427491,0.0003966216],"domain_scores_gemma":[0.9990768,0.00005534543,0.00009588108,0.0005510165,0.00001503373,0.0002058518],"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":[0.00002304197,0.00005230084,0.000004472035,0.00004375077,0.00001495041,0.00002765648,0.000002070687,0.000008809596,0.02037218,4.02591e-7,0.9773722,0.002078122],"study_design_scores_gemma":[0.0002957549,0.00001174856,0.00000216013,0.0001533777,0.00002925495,0.00001768686,0.000001930633,0.000007039472,0.01063741,0.00002519382,0.9884534,0.0003650229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001032148,0.00005887725,0.00004137475,0.0001586981,0.0001517732,0.00003381817,0.9976351,0.00006947213,0.0008187348],"genre_scores_gemma":[0.000151937,0.00006986293,0.0001025015,0.0001244891,0.0004949335,0.000007804153,0.9984035,0.00002673582,0.0006181892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0236534,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006688832844600689,"score_gpt":0.3267473493822036,"score_spread":0.3200585165376029,"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."}}