{"id":"W2958791983","doi":"10.1161/circ.138.suppl_1.16863","title":"Abstract 16863: Cardiac Magnetic Resonance T1 Mapping as a Window Into the Myocardium in Friedreich Ataxia","year":2018,"lang":"en","type":"article","venue":"Circulation","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Medicine; Ataxia; Magnetic resonance imaging; Cardiac magnetic resonance; Window (computing); Cardiac magnetic resonance imaging; Cardiology; Nuclear magnetic resonance; Radiology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005131813,0.0003380702,0.0002053935,0.0005852855,0.0003027268,0.0002221379,0.0001442837,0.0003781729,0.002582125],"category_scores_gemma":[0.0006105338,0.0001287797,0.00006629447,0.0001739099,0.0002353209,0.0002050321,0.0001930307,0.0001333714,0.0003863758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202573,"about_ca_system_score_gemma":0.0001100513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110493,"about_ca_topic_score_gemma":0.001143543,"domain_scores_codex":[0.999915,0.00002910706,0.00001024711,0.00001982689,0.00001362691,0.0000122016],"domain_scores_gemma":[0.9998047,0.00006099175,0.00004606156,0.00001011234,0.00002372093,0.00005446584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004315578,0.0004118373,0.9005931,0.0001163439,0.00008175208,0.003734574,0.0006437476,0.0003399308,0.06545361,0.00009013713,0.0008546939,0.02336475],"study_design_scores_gemma":[0.00007819538,0.0008864048,0.9913703,0.00001304491,0.00003688521,0.004379359,0.0001091464,0.0005336723,0.002217377,0.00005201464,0.0003184485,0.000005007739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992849,0.0001411726,0.0001827052,0.00002053067,0.000002772309,0.000008719986,0.00002900152,0.000005767,0.0003245414],"genre_scores_gemma":[0.9992633,0.00004930772,0.0003252179,0.00001786739,0.00001355359,0.000006856549,0.00006000604,0.00000337805,0.0002603681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582125,"threshold_uncertainty_score":0.008638084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264581904192128,"score_gpt":0.2640278013431452,"score_spread":0.2375696109239324,"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."}}