{"id":"W3153274311","doi":"10.24908/iqurcp.10056","title":"4. The Role of Glycosylation in Cardiac Arrhythmias","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"hERG; Glycosylation; Chemistry; Serine protease; Long QT syndrome; Potassium channel; Protease; Biochemistry; Pharmacology; QT interval; Biology; Enzyme; Medicine; Biophysics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925645,0.0003226585,0.0002823736,0.000305584,0.0002321094,0.0007376922,0.0002223345,0.0006721658,0.001256685],"category_scores_gemma":[0.0008658284,0.00009996691,0.0003753704,0.0003113639,0.0003219463,0.0005470972,0.00027082,0.0004673171,0.0004337995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069004,"about_ca_system_score_gemma":0.0002877673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000921233,"about_ca_topic_score_gemma":0.0005126218,"domain_scores_codex":[0.9997556,0.00009012797,0.00001884851,0.00003748017,0.00003962556,0.00005844605],"domain_scores_gemma":[0.9995711,0.0001235787,0.0001197619,0.0000463008,0.00007941423,0.00005986285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001657842,0.0002376721,0.07756734,0.0005605553,0.0001365698,0.001553863,0.0002579185,0.004497162,0.7961072,0.008488972,0.00105693,0.107878],"study_design_scores_gemma":[0.0001409177,0.002417673,0.4233742,0.0003162811,0.0003423041,0.008907201,0.0007343474,0.05852599,0.4383227,0.03455138,0.03226601,0.0001008963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9346272,0.03047684,0.02402305,0.002988552,0.0001643462,0.00004669978,0.0003299348,0.0001445103,0.007198879],"genre_scores_gemma":[0.9874511,0.006473336,0.004292448,0.0001983474,0.00006429143,0.000008703688,0.0001354268,0.0000148166,0.00136164],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001256685,"threshold_uncertainty_score":0.004203975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985627832004371,"score_gpt":0.342751736991076,"score_spread":0.3128954586710323,"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."}}