{"id":"W4248916157","doi":"10.1515/iupac.88.1453","title":"Ultrasound","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; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290017,0.001060967,0.001102831,0.003467359,0.0006143501,0.002476103,0.001948649,0.001384017,0.2140419],"category_scores_gemma":[0.01472049,0.0004809363,0.001453216,0.005362371,0.0003334091,0.002114924,0.002142033,0.001345546,0.1943466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120375,"about_ca_system_score_gemma":0.00233966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381979,"about_ca_topic_score_gemma":0.02362887,"domain_scores_codex":[0.9983961,0.0003302456,0.0003549627,0.0004476423,0.0003235731,0.0001474864],"domain_scores_gemma":[0.9947483,0.001597617,0.0006519239,0.001080642,0.001644979,0.0002764847],"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":[0.0001168377,0.0000139469,0.001409852,0.001649804,0.0000361967,0.00002876116,0.00002928018,0.0001181106,0.00009002638,0.0008193267,0.9776226,0.01806527],"study_design_scores_gemma":[0.00009532648,0.0000160475,0.003614356,0.001127553,0.00002845859,0.00008995109,0.00006788356,0.0001261139,0.0001434638,0.001551301,0.9931189,0.00002077753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001897536,0.0004086363,0.0002837855,0.0002123101,0.00009645359,0.00006115313,0.9928464,0.0004498452,0.005451637],"genre_scores_gemma":[0.0008635566,0.0005098245,0.0007522238,0.0003526175,0.00004643128,0.0002317834,0.9928313,0.0001243855,0.004287769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2140419,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143788947365138,"score_gpt":0.4473651807714968,"score_spread":0.4359272912978454,"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."}}