{"id":"W4311148084","doi":"10.1016/j.cjca.2022.11.015","title":"Emerging Applications of Extracardiac Ultrasound in Critically Ill Cardiac Patients","year":2022,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Ultrasound; Radiology; Critically ill; Modalities; Contrast-enhanced ultrasound; Elastography; Modality (human–computer interaction); Intensive care medicine; Medical physics; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001058908,0.0006679154,0.001126097,0.002988794,0.0003179323,0.001119103,0.000673393,0.001296132,0.002975306],"category_scores_gemma":[0.001676804,0.0002351851,0.0006062684,0.002206163,0.0006682099,0.001082235,0.0006472224,0.001683479,0.0009506815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009609153,"about_ca_system_score_gemma":0.00225051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004747835,"about_ca_topic_score_gemma":0.008457331,"domain_scores_codex":[0.9996442,0.00006578866,0.00005374263,0.00005127464,0.0001531897,0.00003180297],"domain_scores_gemma":[0.9987562,0.0006544413,0.00009932429,0.00001761655,0.0003956438,0.00007680678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005326927,0.00004172796,0.0004378559,0.02237233,0.00006663761,0.000297927,0.0001531066,0.0002766789,0.001398406,0.003672635,0.01802136,0.953208],"study_design_scores_gemma":[0.00002695868,0.0001624705,0.003989371,0.01477847,0.0001765184,0.003862224,0.0002707391,0.0002067636,0.0006488748,0.002358967,0.9734693,0.00004936153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009093773,0.9987271,0.00006180496,0.0002949317,0.0001336698,0.000002556872,0.000005721431,0.00000295574,0.0006803127],"genre_scores_gemma":[0.0006942683,0.9986159,0.0001534102,0.0001831619,0.0001822278,0.000002805967,0.000009308871,9.713211e-7,0.0001579076],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004747835,"threshold_uncertainty_score":0.009953439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220180496804091,"score_gpt":0.3581645917671731,"score_spread":0.3159627867991321,"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."}}