{"id":"W4394693954","doi":"10.1007/s12630-024-02713-5","title":"Perioperative echocardiographic strain analysis: what anesthesiologists should know","year":2024,"lang":"en","type":"review","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Fondation Institut de Cardiologie de Montréal","keywords":"Perioperative; Anesthesiology; Medicine; Intensive care medicine; Cardiac imaging; Cardiology; Medical physics; Internal medicine; Radiology; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003564544,0.001445063,0.006095184,0.002350984,0.0005753817,0.003288522,0.00186697,0.004558426,0.004407892],"category_scores_gemma":[0.009112935,0.000795105,0.002202761,0.002143934,0.001183205,0.005253362,0.001057639,0.0057892,0.001940327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009339022,"about_ca_system_score_gemma":0.003209816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00338544,"about_ca_topic_score_gemma":0.006969688,"domain_scores_codex":[0.9986412,0.0002667854,0.0003603557,0.0002045927,0.0004540442,0.00007305823],"domain_scores_gemma":[0.9925147,0.004415166,0.0008914428,0.0001366622,0.001715318,0.0003267356],"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":[0.0002253932,0.0001536211,0.001889191,0.0402323,0.0008507418,0.0001950729,0.0001218065,0.0001650768,0.0003679932,0.001641597,0.07429412,0.8798631],"study_design_scores_gemma":[0.0005000224,0.0003344097,0.01537664,0.1748544,0.004545121,0.002549103,0.0008705555,0.0006306049,0.0004348247,0.008433735,0.7911969,0.000273678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007129952,0.9956638,0.0001144208,0.003227297,0.0006805323,0.000004220553,0.00002182557,0.000005616657,0.0002109495],"genre_scores_gemma":[0.0008665661,0.9944403,0.0004858854,0.002372028,0.001617425,0.00001193533,0.00004002011,0.000003094035,0.0001627849],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006095184,"threshold_uncertainty_score":0.0188514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567642853516369,"score_gpt":0.2923695744379294,"score_spread":0.2566931459027657,"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."}}