{"id":"W4295857825","doi":"10.1101/2022.09.06.506800","title":"Effective use of genetically-encoded optical biosensors for profiling signalling signatures in iPSC-CMs derived from idiopathic dilated cardiomyopathy patients","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Hospital; McGill University Health Centre; Royal Victoria Regional Health Centre; Royal Ottawa Mental Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; Courtois Foundation; Mitacs; McGill University","keywords":"Dilated cardiomyopathy; Cardiomyopathy; Heart failure; Disease; Ventricle; Medicine; Computational biology; Drug development; Transplantation; Heart transplantation; Cardiology; Biology; Bioinformatics; Internal medicine; Pharmacology; Drug","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004876218,0.000268815,0.0002998287,0.0004121368,0.0001397011,0.0004484786,0.0002497823,0.0005899955,0.0008818838],"category_scores_gemma":[0.0003532592,0.0001483072,0.0002560279,0.0002086231,0.0002046675,0.0001623497,0.0003112573,0.0006727726,0.0004676353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173603,"about_ca_system_score_gemma":0.0001217308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865116,"about_ca_topic_score_gemma":0.0003694496,"domain_scores_codex":[0.9997353,0.00003584392,0.00002479195,0.00007155121,0.00009584395,0.00003669436],"domain_scores_gemma":[0.9998226,0.00005519164,0.00003827712,0.00002214921,0.00003945264,0.0000223753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004412371,0.00001762388,0.0004553868,0.00002054534,0.00000534842,0.00004283479,0.00001963661,0.0001137156,0.9969119,0.00006237182,0.00006388381,0.002242577],"study_design_scores_gemma":[0.00001009847,0.0001650858,0.005981071,0.000008758236,0.00002548822,0.0002213736,0.00006696086,0.002957179,0.9888318,0.0001261283,0.001594539,0.00001149006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503444,0.0013256,0.04287951,0.0003545076,0.0002227839,0.00009731816,0.002012527,0.0004397395,0.002323723],"genre_scores_gemma":[0.9589252,0.001009374,0.03471151,0.000351727,0.00002804547,0.0001625838,0.001619656,0.00009391965,0.003098004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008818838,"threshold_uncertainty_score":0.002950191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765018061545168,"score_gpt":0.237466958001319,"score_spread":0.2198167773858673,"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."}}