{"id":"W4236953832","doi":"10.1515/iupac.88.0699","title":"Ductus Arteriosis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cardiovascular Conditions and Treatments","field":"Medicine","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":[0.000201187,0.0004018862,0.0009760162,0.0002166849,0.0002399876,0.00009644356,0.0001934446,0.0003205207,0.002815167],"category_scores_gemma":[0.0002864402,0.0003343266,0.0007517242,0.00007364103,0.0001416003,0.00006183839,0.0001110256,0.0004037242,0.00001987439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891694,"about_ca_system_score_gemma":0.0007719314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001842785,"about_ca_topic_score_gemma":0.0003833395,"domain_scores_codex":[0.9978821,0.00003368817,0.0002986943,0.0004919553,0.0009699127,0.0003236301],"domain_scores_gemma":[0.9970649,0.00001794477,0.0001923787,0.002096268,0.0003923458,0.0002361828],"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":[0.0001060592,0.0003603101,0.00005789367,0.000164338,0.001735003,0.003634097,0.000003610699,1.65027e-7,0.000002578485,7.112222e-7,0.9909974,0.002937816],"study_design_scores_gemma":[0.002648721,0.0003027827,0.002545146,0.0004916805,0.002519701,0.001125674,0.000008523427,8.578504e-7,0.000008948424,0.00002200665,0.990051,0.0002749858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000767019,0.001992821,0.00001749021,0.0004001372,0.0007492497,0.0004395694,0.9953905,0.00005383047,0.0001894115],"genre_scores_gemma":[0.0003573549,0.001598841,0.00007068496,0.0001890576,0.001026538,0.00003293108,0.9958992,0.00004201184,0.000783382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002795292,"threshold_uncertainty_score":0.9999109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691842292311563,"score_gpt":0.4307705577313595,"score_spread":0.4138521348082438,"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."}}