{"id":"W6902411671","doi":"10.6084/m9.figshare.6456011.v1","title":"Li - Optimization of Cardiac Myocyte Model for CiPA Initiative","year":2018,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bidomain model; Cardiac imaging; Cardiac magnetic resonance; Animal model; Cardiopulmonary resuscitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004158062,0.000609008,0.0006831045,0.0002645472,0.0004942953,0.0006727207,0.001175087,0.0009749695,0.01404863],"category_scores_gemma":[0.0008071036,0.0003051132,0.0009689692,0.0002699667,0.0002301303,0.0005138761,0.001051008,0.001024191,0.002512918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005060898,"about_ca_system_score_gemma":0.000875049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006654206,"about_ca_topic_score_gemma":0.005634501,"domain_scores_codex":[0.9998692,0.0000407745,0.000005076349,0.00002328101,0.00004191625,0.00001962317],"domain_scores_gemma":[0.9997811,0.00006771271,0.00001381136,0.00003128442,0.00006445732,0.00004162837],"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":[0.0002825272,0.00008796787,0.001871858,0.0005117666,0.0001044236,0.0003141736,0.0001143603,0.8721691,0.01820637,0.02508569,0.04571203,0.03553977],"study_design_scores_gemma":[0.00003259904,0.00003424227,0.0002682967,0.00001807181,0.00001710275,0.00003884345,0.00002154287,0.9774542,0.002288472,0.004225011,0.01558682,0.0000148055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09247387,0.003146809,0.724831,0.00436722,0.001286797,0.0002431147,0.008726028,0.009196842,0.1557283],"genre_scores_gemma":[0.7034475,0.001681681,0.2276338,0.0007222237,0.0002863387,0.0008936087,0.009269539,0.004410722,0.05165454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01404863,"threshold_uncertainty_score":0.04699737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09670742419870644,"score_gpt":0.3515390737073949,"score_spread":0.2548316495086885,"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."}}