{"id":"W2914377961","doi":"10.1063/1.5055873","title":"Modeling cardiac complexity: Advancements in myocardial models and analytical techniques for physiological investigation and therapeutic development <i>in vitro</i>","year":2019,"lang":"en","type":"review","venue":"APL Bioengineering","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Modalities; Neuroscience; Cardiac electrophysiology; Drug discovery; Therapeutic modalities; Drug development; Medicine; Cardiac cell; Computer science; Computational biology; Bioinformatics; Biology; Electrophysiology; Drug; Internal medicine; Pharmacology","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":[0.000758142,0.0007681326,0.0009647778,0.001549085,0.0001998486,0.001127193,0.0008043916,0.001045319,0.001792007],"category_scores_gemma":[0.0008954284,0.0002842498,0.0006101397,0.001425085,0.0006926862,0.001658209,0.0007410121,0.001683377,0.001407646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00057988,"about_ca_system_score_gemma":0.0008401453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009476308,"about_ca_topic_score_gemma":0.0009162186,"domain_scores_codex":[0.999761,0.00005158809,0.00002455971,0.00005307391,0.00009191022,0.00001782986],"domain_scores_gemma":[0.9994437,0.0003428647,0.00005324411,0.00003039234,0.0001067535,0.00002306104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004811729,0.00007773736,0.0006029114,0.01743004,0.0001307029,0.0002176903,0.0001929812,0.004646776,0.01776834,0.04238979,0.02137107,0.8951239],"study_design_scores_gemma":[0.000008775231,0.0001623061,0.001345677,0.003848987,0.0001838792,0.001384454,0.0001577334,0.003074497,0.008100415,0.01910306,0.9625534,0.00007662815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007361929,0.9867877,0.007516056,0.0007704463,0.0003942398,0.00001031894,0.0000519066,0.0000495352,0.003683586],"genre_scores_gemma":[0.004368204,0.9909662,0.003290105,0.0002524646,0.0003213511,0.0000156302,0.00006681708,0.00001296522,0.0007062639],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001792007,"threshold_uncertainty_score":0.005994856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030546760373659,"score_gpt":0.3304744782216485,"score_spread":0.2274198021842827,"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."}}