{"id":"W4252676878","doi":"10.1515/iupac.88.1254","title":"Protamine","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Drug-Induced Adverse Reactions","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"],"consensus_categories":[],"category_scores_codex":[0.000399328,0.0005357446,0.001040972,0.0003526811,0.0002560058,0.00007759238,0.0003890887,0.0005730552,0.0006287608],"category_scores_gemma":[0.001801431,0.00045953,0.0003179104,0.0001372444,0.0002149405,0.0001246859,0.0001902236,0.001364151,0.00003367952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000810263,"about_ca_system_score_gemma":0.002403746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000269303,"about_ca_topic_score_gemma":0.0005862938,"domain_scores_codex":[0.9969754,0.00003851981,0.0004779496,0.0006351996,0.001366097,0.0005067951],"domain_scores_gemma":[0.9960632,0.0000525211,0.0004540975,0.002316522,0.000714948,0.0003987223],"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":[0.00005191032,0.0006007521,0.000008945648,0.0003997376,0.0002720141,0.0006450489,0.000005759168,3.375051e-7,0.00005037708,0.000002391167,0.9832397,0.01472299],"study_design_scores_gemma":[0.001965496,0.0001301836,0.0006898103,0.001031868,0.0007641151,0.0003929964,0.00002646502,0.000004590201,0.00003438059,0.00001769779,0.9945399,0.000402497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009603245,0.0002404236,0.00001253868,0.00152026,0.001216721,0.001150205,0.9934947,0.0001351747,0.002133914],"genre_scores_gemma":[0.00005353683,0.0005415422,0.0001365687,0.0002762518,0.002222797,0.00005894287,0.9912619,0.00007569331,0.005372743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01432049,"threshold_uncertainty_score":0.9997857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890359441821644,"score_gpt":0.4743362174072003,"score_spread":0.4454326229889838,"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."}}