{"id":"W4252102113","doi":"10.1515/iupac.79.0886","title":"Bagassosis","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; 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":[0.001555311,0.002220367,0.002044045,0.004772454,0.001044119,0.004449091,0.003389711,0.002194822,0.1466528],"category_scores_gemma":[0.01104924,0.000745988,0.002005129,0.007148436,0.0004627456,0.002749627,0.002748004,0.001954032,0.2222096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426855,"about_ca_system_score_gemma":0.003450644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134785,"about_ca_topic_score_gemma":0.02604552,"domain_scores_codex":[0.9980358,0.0003795028,0.0003266605,0.0006953529,0.0003409854,0.0002215827],"domain_scores_gemma":[0.9965568,0.0009840662,0.0004051542,0.0009678293,0.0007666817,0.0003195039],"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":[0.0001278379,0.00001732188,0.0008480381,0.001411037,0.00005658995,0.00002575387,0.00002397458,0.0002263881,0.00008293652,0.0008241009,0.9916477,0.004708224],"study_design_scores_gemma":[0.0002293071,0.00001630707,0.001532385,0.0004781847,0.00004082529,0.00005586407,0.00004179168,0.0002427666,0.0001539244,0.001890592,0.9952962,0.0000218939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007944411,0.0001496952,0.00009052933,0.0000783336,0.00003446206,0.00001779289,0.9978467,0.0005731093,0.001129858],"genre_scores_gemma":[0.0002580486,0.0001250619,0.0003263845,0.0001024018,0.00001083093,0.00009665277,0.9982479,0.0001204983,0.0007123277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1466528,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005456670940055933,"score_gpt":0.319890521001755,"score_spread":0.3144338500616991,"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."}}