{"id":"W128333745","doi":"","title":"A new tool for estimating left ventricular ejection fraction derived from wall motion score index.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Ejection fraction; Medicine; Cardiology; Internal medicine; Nuclear medicine; Heart failure","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":[0.001875478,0.0009396498,0.0004882668,0.002895093,0.0001206074,0.0006010216,0.0004879395,0.0005181066,0.002260746],"category_scores_gemma":[0.006543712,0.0002465848,0.0004574208,0.0009599824,0.0002454467,0.0007754368,0.0005252435,0.000734337,0.001180785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835677,"about_ca_system_score_gemma":0.0002851825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00069127,"about_ca_topic_score_gemma":0.001137957,"domain_scores_codex":[0.9988471,0.0003832355,0.0001282085,0.0001708461,0.000428903,0.00004162225],"domain_scores_gemma":[0.9974935,0.001000285,0.0007835326,0.0001415179,0.0004234403,0.0001577127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006358886,0.0002208194,0.7156648,0.0002791978,0.0004332343,0.0003367044,0.0001688373,0.002690214,0.0121385,0.0009280943,0.005405749,0.2610979],"study_design_scores_gemma":[0.0002104208,0.001928733,0.896785,0.0001376486,0.000318971,0.005982382,0.000132451,0.07249369,0.007523884,0.0021539,0.01217761,0.0001553417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7009709,0.009353643,0.2692439,0.0009145108,0.000787196,0.0008218839,0.006717432,0.002873444,0.008317132],"genre_scores_gemma":[0.8304233,0.001371177,0.1591306,0.0002583749,0.0003716063,0.0008772828,0.003795458,0.000115014,0.003657176],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002895093,"threshold_uncertainty_score":0.009918571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104649321063628,"score_gpt":0.2298119665663448,"score_spread":0.2087654733557085,"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."}}