{"id":"W4253069679","doi":"10.1515/iupac.88.1455","title":"Umbilical Artery","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":[0.0006293167,0.001069229,0.001138637,0.003138908,0.00058281,0.001951181,0.001195669,0.001105581,0.1261474],"category_scores_gemma":[0.008710965,0.0003675881,0.001129598,0.006217965,0.0002602279,0.001429989,0.00139639,0.001323509,0.08358983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008547637,"about_ca_system_score_gemma":0.001536352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163922,"about_ca_topic_score_gemma":0.01385436,"domain_scores_codex":[0.9989963,0.0001511923,0.0002308027,0.000312704,0.0001857616,0.0001232078],"domain_scores_gemma":[0.9971192,0.000912677,0.0004584941,0.0005919259,0.0007451781,0.0001726191],"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":[0.0005662036,0.00003187814,0.008532096,0.002414089,0.00009228698,0.0002178139,0.00005186665,0.0002649873,0.0002026931,0.001525653,0.9334796,0.05262075],"study_design_scores_gemma":[0.0001985546,0.00004656666,0.01917837,0.002114602,0.00009487358,0.0008292997,0.0001553614,0.0002975999,0.0003688428,0.002894386,0.9737795,0.00004205623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001273369,0.001501562,0.0005818644,0.0002957562,0.0001845182,0.0000973675,0.9820673,0.0004140682,0.01358412],"genre_scores_gemma":[0.004673545,0.002034858,0.001378619,0.0005858294,0.0001142211,0.0003537712,0.9833678,0.0001392751,0.007352104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1261474,"threshold_uncertainty_score":0.4220051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226085063678484,"score_gpt":0.4537795989305848,"score_spread":0.4415187482938,"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."}}