{"id":"W4231378134","doi":"10.1515/iupac.88.1475","title":"Vasculogenesis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical and Biological Sciences","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; 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":[0.001256619,0.001622239,0.001544712,0.00492624,0.0008573618,0.003707786,0.002163656,0.001648557,0.08133497],"category_scores_gemma":[0.009035556,0.0007078073,0.002355826,0.005985398,0.0004222131,0.002021948,0.002432629,0.002296398,0.06253756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431119,"about_ca_system_score_gemma":0.002810481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178052,"about_ca_topic_score_gemma":0.02316065,"domain_scores_codex":[0.9986198,0.0002351285,0.0003127791,0.0003862179,0.0002717423,0.0001743478],"domain_scores_gemma":[0.9959197,0.001418869,0.000734964,0.0009106476,0.0007465259,0.0002692313],"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":[0.0003038315,0.00002556332,0.005419024,0.007108395,0.0001547277,0.0001036509,0.00008031073,0.0004837476,0.0004456997,0.002204633,0.9646724,0.018998],"study_design_scores_gemma":[0.0001644751,0.00002042564,0.007662626,0.002284936,0.0001074925,0.0002713779,0.00007196081,0.000214309,0.0003193442,0.002108856,0.9867429,0.0000312927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002732126,0.0008534546,0.0002547528,0.0001258055,0.00006442056,0.00003125608,0.9956059,0.0003764846,0.002414759],"genre_scores_gemma":[0.001106065,0.0009843034,0.001049691,0.0002151854,0.00002560362,0.0001650168,0.995076,0.00011982,0.001258299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08133497,"threshold_uncertainty_score":0.2720926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867362228111847,"score_gpt":0.4594294126825186,"score_spread":0.4207557904014002,"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."}}