{"id":"W4254295888","doi":"10.1515/iupac.79.0948","title":"B Lymphocyte","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; Toxicology; Computer science; Chemistry; Biology; Philosophy; 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":[0.001289355,0.001910239,0.00140652,0.002975815,0.00097456,0.003615838,0.002500726,0.001779337,0.1810894],"category_scores_gemma":[0.01149218,0.0005981825,0.002047297,0.004503775,0.0003316306,0.002500407,0.001932029,0.001920066,0.2702223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494215,"about_ca_system_score_gemma":0.002744918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724176,"about_ca_topic_score_gemma":0.02646058,"domain_scores_codex":[0.998063,0.0002733599,0.0002490152,0.0008248127,0.0003679217,0.0002218603],"domain_scores_gemma":[0.99616,0.0008605725,0.0002957667,0.001211895,0.00118929,0.000282337],"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":[0.0001339226,0.00002188841,0.001532769,0.0006020851,0.00004448416,0.00001489605,0.00001301563,0.0001664256,0.00009173967,0.0006378196,0.9888417,0.007899303],"study_design_scores_gemma":[0.0001706993,0.00002549524,0.003747789,0.0004564662,0.0000423016,0.00007480479,0.00006705189,0.0003355941,0.0002624652,0.002156923,0.9926333,0.00002709668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001500443,0.00012928,0.0001352564,0.0001176035,0.00006396719,0.00002480473,0.9964725,0.0004409043,0.002465647],"genre_scores_gemma":[0.0004910164,0.0001104718,0.0004231725,0.0001660459,0.00001659611,0.00009445316,0.9967818,0.00007901707,0.001837388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1810894,"threshold_uncertainty_score":0.6058043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229062438944988,"score_gpt":0.3820566375674168,"score_spread":0.3697660131779669,"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."}}