{"id":"W4234075273","doi":"10.1515/iupac.79.1956","title":"Rhonchus","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Reformation and Early Modern Christianity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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":[0.0009478792,0.00170016,0.001276066,0.0039939,0.0008584204,0.003023652,0.002090014,0.001244677,0.1114921],"category_scores_gemma":[0.006125103,0.0004738833,0.001386089,0.006062011,0.0004625238,0.002010245,0.002382839,0.001514054,0.1692647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211474,"about_ca_system_score_gemma":0.002326497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080848,"about_ca_topic_score_gemma":0.04116882,"domain_scores_codex":[0.9986099,0.0002715336,0.0001965898,0.0004416316,0.0003083859,0.0001718858],"domain_scores_gemma":[0.9982514,0.0004650233,0.0002403236,0.0004577651,0.0004275335,0.0001579156],"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":[0.00008769169,0.00001509142,0.001112637,0.0009743019,0.00003012278,0.00002450292,0.00003782934,0.0001908343,0.00009441534,0.001110479,0.9895013,0.006820786],"study_design_scores_gemma":[0.00008467709,0.00001238162,0.002824405,0.0004222399,0.00001933019,0.00005502896,0.00008089304,0.0001929148,0.0001324631,0.000859532,0.9952977,0.00001840894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002158297,0.0002489255,0.00009203088,0.00009961146,0.00004262802,0.0000193935,0.9966432,0.000438387,0.002199985],"genre_scores_gemma":[0.0004205588,0.000190099,0.0002930587,0.00009181565,0.00001435853,0.0000835932,0.9972258,0.00008202219,0.00159858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1114921,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025892561750634,"score_gpt":0.3542966485928764,"score_spread":0.3284040868422424,"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."}}