{"id":"W4256352301","doi":"10.1515/iupac.88.0430","title":"Alveolus","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197768,0.001292009,0.001303877,0.005446348,0.0009095646,0.003226253,0.002085605,0.001358032,0.129451],"category_scores_gemma":[0.008050503,0.0005416772,0.001531629,0.006881509,0.0004131782,0.002630004,0.002513353,0.001463584,0.1240139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118649,"about_ca_system_score_gemma":0.002640703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948578,"about_ca_topic_score_gemma":0.03277866,"domain_scores_codex":[0.9984419,0.0002456186,0.0003156535,0.0005055054,0.0003319574,0.0001593814],"domain_scores_gemma":[0.9971297,0.00097667,0.0004569689,0.0005938643,0.0006630391,0.0001797795],"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":[0.0001379636,0.00001906109,0.002138414,0.003193022,0.0000550185,0.00004368998,0.00007381805,0.000246349,0.0002739939,0.002241476,0.976704,0.01487311],"study_design_scores_gemma":[0.00005223368,0.000008745622,0.002528026,0.0006923753,0.00002258168,0.00004278442,0.00006112463,0.00009120206,0.0001190501,0.001012735,0.9953551,0.00001399729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000175605,0.0003234146,0.0001584796,0.0001192374,0.00004991953,0.00002663594,0.9955771,0.0004041937,0.003165446],"genre_scores_gemma":[0.0005522908,0.0003519675,0.0005682327,0.0001724434,0.00001862905,0.0001178707,0.9959978,0.0001289513,0.00209172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.129451,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187028397093255,"score_gpt":0.4615222112325425,"score_spread":0.44965192726161,"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."}}