{"id":"W4248222343","doi":"10.1515/iupac.88.1384","title":"Surfactant, Pulmonary","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003506392,0.0004701457,0.0005239465,0.00003109414,0.000381285,0.00008703115,0.001062689,0.0003626854,0.05314625],"category_scores_gemma":[0.0001303376,0.0004280772,0.0002666916,0.00008802757,0.0005312742,0.0001808769,0.0007659437,0.0005784097,0.0001039134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000614592,"about_ca_system_score_gemma":0.00004620556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005834428,"about_ca_topic_score_gemma":0.0006122862,"domain_scores_codex":[0.9972044,0.00004229187,0.0003512428,0.0007311731,0.001229886,0.0004409934],"domain_scores_gemma":[0.997861,0.00003023381,0.0003594863,0.001500804,0.000009262321,0.0002391779],"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":[0.00002974115,0.0002615505,0.0009696972,0.00004079848,0.00005418162,0.0002699606,0.000002412025,0.0000469247,0.0005016793,4.188202e-8,0.9965605,0.001262488],"study_design_scores_gemma":[0.0001595238,0.00003454189,0.001070618,0.00006641903,0.000173965,0.00002860642,0.00001110175,0.00002138023,0.0002464568,0.00004346844,0.9976484,0.0004955386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002233656,0.0001949602,0.000005362234,0.0001774307,0.0001486322,0.0001064623,0.9954296,0.00003057175,0.001673324],"genre_scores_gemma":[0.001117468,0.000820009,0.00003929095,0.0001423519,0.0002581164,0.000006986069,0.994059,0.00002906086,0.003527685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05304234,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009938854250633193,"score_gpt":0.3623252927578778,"score_spread":0.3523864385072446,"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."}}