{"id":"W4233702845","doi":"10.1515/iupac.84.0360","title":"Bradykinin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Immunopharmacology; Medicine; Immunology; Immune system; Philosophy; Linguistics","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":[0.0008574843,0.001397163,0.001297832,0.002451819,0.0005487773,0.002127684,0.001591198,0.001510519,0.04681908],"category_scores_gemma":[0.005438424,0.0004978527,0.001533842,0.003639142,0.0002690207,0.001218104,0.001484347,0.001528311,0.05906537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047484,"about_ca_system_score_gemma":0.002070089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008791309,"about_ca_topic_score_gemma":0.01762413,"domain_scores_codex":[0.9988874,0.0001715891,0.0002428434,0.0003304522,0.0002396379,0.0001282477],"domain_scores_gemma":[0.9980585,0.000511145,0.0004134299,0.0004231128,0.0004169962,0.0001767154],"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":[0.001073333,0.00009055404,0.008387197,0.007212407,0.0002454238,0.0001471689,0.00004838266,0.0006520796,0.0009406065,0.001203157,0.9563047,0.02369498],"study_design_scores_gemma":[0.0004776754,0.00006737453,0.015516,0.001225731,0.0001645195,0.0003886291,0.00006223791,0.0004121462,0.0008987067,0.001334477,0.9794042,0.00004828523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005048914,0.0006039473,0.0001148513,0.00009745351,0.00005272476,0.00003396409,0.9968658,0.0001993131,0.001527173],"genre_scores_gemma":[0.001033391,0.0004268755,0.0003755304,0.0001387967,0.00001626769,0.0001008713,0.9967777,0.00003085544,0.001099748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04681908,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823535878005529,"score_gpt":0.4068451485060745,"score_spread":0.3886097897260192,"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."}}