{"id":"W2794412687","doi":"10.1371/journal.pcbi.1005978","title":"In silico study of multicellular automaticity of heterogeneous cardiac cell monolayers: Effects of automaticity strength and structural linear anisotropy","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Compute Canada","keywords":"Automaticity; Biological system; Isotropy; Anisotropy; In silico; Materials science; Biophysics; Biology; Neuroscience; Physics","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":[0.000254649,0.0002667728,0.0003454022,0.0002370747,0.000210009,0.0004328557,0.0003742847,0.0005737771,0.0005637019],"category_scores_gemma":[0.0008637297,0.0001758435,0.0004845457,0.0001925702,0.0003101506,0.0002576593,0.00027218,0.0003303668,0.0000644949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003856027,"about_ca_system_score_gemma":0.0003502397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166468,"about_ca_topic_score_gemma":0.002391517,"domain_scores_codex":[0.999907,0.00002468753,0.00000701785,0.00002038378,0.00002028367,0.00002055089],"domain_scores_gemma":[0.9993468,0.0004145405,0.00008738129,0.00005080624,0.00005916536,0.00004128285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009800265,0.0001048149,0.004774722,0.00009217514,0.00004233004,0.0001524874,0.00007678119,0.9246843,0.06599239,0.001711917,0.0001026899,0.002167357],"study_design_scores_gemma":[0.000007090491,0.00006383214,0.001125996,0.00000308483,0.00001111782,0.00002458956,0.00002100451,0.9921104,0.006268682,0.0002286172,0.0001280404,0.000007411393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715988,0.0001250062,0.0265671,0.0001266869,0.00002151321,0.00001871356,0.0001518624,0.0000535391,0.001336755],"genre_scores_gemma":[0.9948979,0.00007277245,0.004704358,0.00001390352,0.000002527655,0.00001539496,0.00005011952,0.000005671089,0.0002374865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003166468,"threshold_uncertainty_score":0.006296098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00792203369036117,"score_gpt":0.2655988573854933,"score_spread":0.2576768236951321,"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."}}