{"id":"W4230325966","doi":"10.32920/ryerson.14654631","title":"Simulation models of current density imaging in studying cardiac states","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Diffusion MRI; Current (fluid); Intracardiac injection; Cardiac electrophysiology; Cardiac imaging; Electrophysiology; Correlation; Computational model; Magnetic resonance imaging; Computer science; Physics; Neuroscience; Algorithm; Mathematics; Cardiology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001960955,0.0002325603,0.0005477091,0.0002670747,0.00001594488,0.00006439879,0.0001250116,0.0001001856,0.00003762041],"category_scores_gemma":[0.00001901588,0.000231047,0.0002144934,0.0002032831,0.00001250126,0.0001440484,0.0001078218,0.0005274934,0.000001151483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682123,"about_ca_system_score_gemma":0.00004901203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008249416,"about_ca_topic_score_gemma":0.0002138626,"domain_scores_codex":[0.9988044,0.00005233243,0.0004637178,0.0002851554,0.0001989414,0.0001954851],"domain_scores_gemma":[0.9992545,0.00007245835,0.00006386912,0.0003290312,0.0002452186,0.00003496471],"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":[6.503679e-7,0.00001795728,0.003911941,0.0001730164,0.0001182407,0.000003004324,0.001527747,0.9868295,0.001862574,0.0000801539,0.00002390599,0.005451281],"study_design_scores_gemma":[0.00005948594,0.00000109417,0.0002541415,0.0002146989,0.00009727634,7.65159e-8,0.001327407,0.9935136,0.003474642,0.0008102927,0.00002007522,0.0002272265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942838,0.004615964,0.09950098,0.000004793185,0.0005972207,0.0001634494,0.00002021578,0.0001053974,0.0007081233],"genre_scores_gemma":[0.9990626,0.0004518897,0.0001936821,0.000004039799,0.00004020729,0.000009394284,0.0002004512,0.0000285387,0.000009182783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047788,"threshold_uncertainty_score":0.9421823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373692016478799,"score_gpt":0.2654705994651531,"score_spread":0.2317336793003651,"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."}}