{"id":"W4237997534","doi":"10.1515/iupac.79.1809","title":"Plasmapheresis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Forensic toxicology; Clinical toxicology; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; 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":[0.001236039,0.001402807,0.001944108,0.002036622,0.0005491839,0.002378774,0.002111874,0.001700081,0.09480931],"category_scores_gemma":[0.01073106,0.0004298702,0.002201532,0.003351718,0.0002369432,0.001193815,0.001301829,0.001796665,0.06702379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462134,"about_ca_system_score_gemma":0.002841796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007244832,"about_ca_topic_score_gemma":0.01454821,"domain_scores_codex":[0.9987156,0.0002257943,0.000282076,0.0004224633,0.0002447111,0.0001094516],"domain_scores_gemma":[0.9962528,0.001477155,0.0006421194,0.0007803291,0.0005997038,0.0002477598],"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":[0.0009144605,0.00005883734,0.00253027,0.004529084,0.0002928764,0.00006054472,0.00001803463,0.0005315045,0.0001782899,0.0007041213,0.9700797,0.02010229],"study_design_scores_gemma":[0.00161489,0.00009790839,0.01012896,0.002439928,0.0003901722,0.0003570663,0.00004380496,0.0006386442,0.0006199437,0.003349401,0.9802613,0.00005781638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000285889,0.000510995,0.0001704988,0.000118658,0.00004276363,0.00006106203,0.9967643,0.0002541998,0.001791591],"genre_scores_gemma":[0.001341554,0.0005398095,0.0007301755,0.0003540186,0.00004335193,0.0004411746,0.9946231,0.0001028029,0.001824204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09480931,"threshold_uncertainty_score":0.3171687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275133027052277,"score_gpt":0.3786808635871125,"score_spread":0.3659295333165897,"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."}}