{"id":"W2997465464","doi":"","title":"Cardiac Comorbidities and Their Effect on Brain Structure","year":2019,"lang":"en","type":"article","venue":"INSAR 2019 Annual Meeting","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Intensive care medicine; Cardiology","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":[0.0002286891,0.000265522,0.0002561927,0.0003230827,0.0003101971,0.0007279945,0.0001823501,0.0004266762,0.003864461],"category_scores_gemma":[0.001461093,0.0001259416,0.0003333302,0.0003557271,0.0002804683,0.0002459117,0.0004122826,0.0006729173,0.0002380099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000385627,"about_ca_system_score_gemma":0.0004185666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005986759,"about_ca_topic_score_gemma":0.01349936,"domain_scores_codex":[0.9998707,0.00004356936,0.000006718086,0.00001967332,0.00002278033,0.00003666589],"domain_scores_gemma":[0.9993098,0.0001867248,0.0002029089,0.00004866884,0.00005814907,0.0001938491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01063723,0.0008384467,0.8990732,0.0001896554,0.001583019,0.002233997,0.0002768806,0.0008503319,0.01194563,0.001285779,0.001746867,0.06933902],"study_design_scores_gemma":[0.00002215,0.0001981412,0.9985167,0.00001158829,0.00008534169,0.0002480925,0.00005532294,0.0001191429,0.0001192031,0.0003113105,0.0003076436,0.000005283644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827355,0.008634309,0.000186819,0.0008192508,0.0000789668,0.000008527471,0.0004481025,0.000009347267,0.007079042],"genre_scores_gemma":[0.9964126,0.001947032,0.0001375508,0.0001056992,0.0001055245,0.000004922897,0.0001716931,0.000005194371,0.001109924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005986759,"threshold_uncertainty_score":0.01292795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005145576040720086,"score_gpt":0.2274253310322422,"score_spread":0.2222797549915221,"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."}}