{"id":"W6927386112","doi":"10.26226/morressier.5b9a8cfedbd47e000fbf58c4","title":"Role of LA volume in Prediction of AF in Cryptogenic Ischemic Stroke Patients","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Stroke (engine); Retrospective cohort study; Ischemic stroke; Left atrium; Premature atrial contraction; Cardiac imaging","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003514503,0.000327564,0.0006164759,0.003284971,0.00004789913,0.0001383351,0.002210773,0.0006169491,0.0004685042],"category_scores_gemma":[0.00009712356,0.000329135,0.0001454982,0.001215617,0.0004583812,0.00005558922,0.003323895,0.0004224735,0.0000169211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000857976,"about_ca_system_score_gemma":0.0005848732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006356013,"about_ca_topic_score_gemma":0.0001202024,"domain_scores_codex":[0.9974542,0.0003546995,0.0005333036,0.0007314525,0.0003998238,0.0005265725],"domain_scores_gemma":[0.998218,0.00004854201,0.000377901,0.001178593,0.00004471224,0.00013223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000249663,0.0002665505,0.3296516,0.0001640682,0.0001096006,0.000004940541,0.00002883701,0.000001782654,0.0322731,0.0000880265,0.6356038,0.001558077],"study_design_scores_gemma":[0.001459317,0.0004196608,0.1498028,0.0002991934,0.000009233387,8.384662e-7,0.00003375871,0.000005900331,0.03871929,0.0001521009,0.8088524,0.0002454064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.283254,0.01367904,7.64114e-7,0.0001076316,0.0001122004,0.001378731,0.003968832,0.00001170338,0.6974871],"genre_scores_gemma":[0.5353418,0.03486847,0.001539806,0.00005099022,0.00037225,0.0003210535,0.005464723,0.0007045475,0.4213364],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2761507,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395047932863998,"score_gpt":0.2832672352822063,"score_spread":0.2593167559535663,"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."}}