{"id":"W6920901680","doi":"10.6084/m9.figshare.12981244","title":"Additional file 1 of Ex vivo cardiovascular magnetic resonance diffusion weighted imaging in congenital heart disease, an insight into the microstructures of tetralogy of Fallot, biventricular and univentricular systemic right ventricle","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Tetralogy of Fallot; Ventricle; Magnetic resonance imaging; Diffusion-Weighted Magnetic Resonance Imaging; Cardiac magnetic resonance imaging; Cardiac magnetic resonance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001568331,0.0009276849,0.001046818,0.002191558,0.0007764727,0.001602332,0.001436925,0.001183597,0.8635622],"category_scores_gemma":[0.03642868,0.0005393907,0.0005375153,0.002817943,0.0002472275,0.001475795,0.0009795345,0.0008171406,0.1408237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007939243,"about_ca_system_score_gemma":0.001565248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004540043,"about_ca_topic_score_gemma":0.008307502,"domain_scores_codex":[0.9993036,0.0001031583,0.0001609591,0.0001845116,0.0001730869,0.0000747073],"domain_scores_gemma":[0.9750196,0.01832196,0.001525461,0.001574759,0.003048284,0.0005100261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004997287,0.000127815,0.003751831,0.002531538,0.00004188141,0.0001971564,0.00007731933,0.000372509,0.0001994755,0.0007751196,0.9763815,0.01504411],"study_design_scores_gemma":[0.005188494,0.0004661389,0.04938219,0.006065467,0.0002866589,0.002393026,0.0007537079,0.002122695,0.001631395,0.01486479,0.9166426,0.0002027564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003363072,0.00003181557,0.0003764221,0.0001305764,0.00002694182,0.0001088415,0.9977896,0.0001780183,0.00102145],"genre_scores_gemma":[0.01349436,0.0003240932,0.004784307,0.0007542806,0.0002345417,0.003266976,0.9633988,0.0007993976,0.01294327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8635622,"threshold_uncertainty_score":0.1946118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008102348535087239,"score_gpt":0.2260026297199715,"score_spread":0.2179002811848843,"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."}}