{"id":"W4229546724","doi":"10.1515/iupac.88.1495","title":"Wean","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.00147565,0.0008869328,0.001093425,0.003036556,0.001142392,0.004873054,0.001648652,0.001359342,0.4860694],"category_scores_gemma":[0.02064675,0.000517635,0.001213116,0.006908152,0.0003242188,0.00467929,0.002956221,0.001811314,0.4536422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305849,"about_ca_system_score_gemma":0.00244109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123929,"about_ca_topic_score_gemma":0.02137493,"domain_scores_codex":[0.9982007,0.0003572667,0.0003286018,0.0005126106,0.0003873323,0.0002135785],"domain_scores_gemma":[0.9934171,0.001883779,0.000564463,0.001592032,0.002001043,0.0005416758],"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":[0.00004601544,0.000006656812,0.0005387497,0.0003652547,0.000010713,0.00001137358,0.00002570137,0.00002511929,0.00002196546,0.0008555207,0.9859628,0.01213002],"study_design_scores_gemma":[0.00002620406,0.000004575251,0.0009390748,0.0002810383,0.000006349321,0.00002383653,0.00006109959,0.00002620143,0.00003317046,0.0008973876,0.9976925,0.000008486007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003541645,0.000497576,0.0004703682,0.001189387,0.0004329398,0.00009168337,0.9644987,0.001044603,0.03142057],"genre_scores_gemma":[0.001724907,0.0008799693,0.001129234,0.001988121,0.0001517966,0.0003187691,0.962409,0.0008068339,0.03059139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4860694,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418857018091133,"score_gpt":0.4698350400237569,"score_spread":0.4456464698428456,"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."}}