{"id":"W2601675463","doi":"10.1007/s10237-017-0902-x","title":"Flow dynamics and energy efficiency of flow in the left ventricle during myocardial infarction","year":2017,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Heart and Stroke Foundation of Canada","keywords":"Myocardial infarction; Cardiology; Internal medicine; Infarction; Ventricle; Medicine; Stroke volume; Heart rate; Stroke (engine); Mechanics; Physics; Blood pressure","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004165795,0.0001765824,0.0004250185,0.0004759507,0.0002144759,0.0009681204,0.0002485562,0.0004876813,0.001671176],"category_scores_gemma":[0.001708809,0.0002536188,0.0002199819,0.000252724,0.0004066002,0.0005880138,0.0003312932,0.0003519332,0.0002235719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506141,"about_ca_system_score_gemma":0.0002026696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433361,"about_ca_topic_score_gemma":0.001083915,"domain_scores_codex":[0.9998766,0.00003693884,0.00001005462,0.00001919883,0.00002159306,0.00003563252],"domain_scores_gemma":[0.9996861,0.0001806517,0.00004061895,0.00002359503,0.00002260423,0.00004637856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01321397,0.001491611,0.3906771,0.0002565943,0.000557557,0.002997022,0.001676239,0.08542326,0.3997518,0.007557533,0.001160845,0.09523652],"study_design_scores_gemma":[0.00005420146,0.0004580859,0.9084868,0.00002043079,0.00006671206,0.0007321044,0.000303775,0.08096819,0.006616403,0.001955342,0.0003057117,0.00003223859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979102,0.0001609979,0.001350714,0.00006679694,0.000004729533,0.000007422683,0.00006224949,0.000006020975,0.0004307578],"genre_scores_gemma":[0.9994401,0.00006981255,0.0001796143,0.00001232412,0.00001112453,0.000009557184,0.00005097012,0.00000693678,0.0002195651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001671176,"threshold_uncertainty_score":0.005590618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656536678539895,"score_gpt":0.2419174003969618,"score_spread":0.2253520336115629,"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."}}