{"id":"W4255156900","doi":"10.1515/iupac.88.0424","title":"Alkalosis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000290032,0.0004101009,0.0004722023,0.00003046765,0.000346784,0.0000731364,0.0008889819,0.0003277209,0.06545775],"category_scores_gemma":[0.0001509762,0.0003730962,0.0002645679,0.00007940222,0.0004759542,0.0001394644,0.0007032654,0.000474082,0.0001188615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929273,"about_ca_system_score_gemma":0.00003416117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005596515,"about_ca_topic_score_gemma":0.0009829247,"domain_scores_codex":[0.9974839,0.00003314344,0.0003055684,0.0006478028,0.001149916,0.000379651],"domain_scores_gemma":[0.9980077,0.00002325534,0.0003187236,0.001427321,0.000008407378,0.0002146138],"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":[0.00001662118,0.0001879295,0.0004051068,0.00003075633,0.00006365854,0.00007190439,0.000003255206,0.00002943466,0.0001670048,7.632553e-8,0.9979199,0.001104323],"study_design_scores_gemma":[0.0002284338,0.00004172395,0.0004335982,0.00005782203,0.0002262747,0.000009163196,0.000009200998,0.000007458188,0.0002847098,0.00003174191,0.9982399,0.0004299954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001008277,0.0001278746,0.00001203157,0.0002472064,0.0001262085,0.0000909204,0.9973556,0.00002602533,0.001005899],"genre_scores_gemma":[0.0002537756,0.0006120807,0.00007727605,0.0002382461,0.0002857253,0.000009829576,0.9956402,0.00002392605,0.002858911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06533889,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0094675512801346,"score_gpt":0.3721170055278567,"score_spread":0.3626494542477221,"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."}}