{"id":"W4391960083","doi":"10.3390/app14051688","title":"Biomedical Imaging Technologies for Cardiovascular Disease - Volume II","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"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":[0.001956437,0.001281769,0.00101923,0.004575117,0.0006057001,0.003837391,0.001129485,0.002111748,0.02588411],"category_scores_gemma":[0.002985168,0.0006177041,0.0007593127,0.002122162,0.001127543,0.002899636,0.002043366,0.003055303,0.01592499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261687,"about_ca_system_score_gemma":0.002309193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101454,"about_ca_topic_score_gemma":0.001488928,"domain_scores_codex":[0.9989443,0.0001599422,0.00008442091,0.00012737,0.0005974804,0.00008648076],"domain_scores_gemma":[0.9973907,0.0006947307,0.0001673017,0.0001833229,0.001238605,0.000325454],"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":[0.00006814504,0.00008555417,0.0004080647,0.002193518,0.00004739521,0.0001510947,0.0001183206,0.0006603452,0.006610802,0.01864853,0.5138445,0.4571636],"study_design_scores_gemma":[0.000008435482,0.00008840372,0.001084912,0.001264093,0.00002971731,0.0008745111,0.00006767459,0.000442031,0.001911313,0.009523113,0.9846765,0.00002919187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001897121,0.7852454,0.01953827,0.0248328,0.07196923,0.0003408033,0.000765994,0.001058083,0.09435236],"genre_scores_gemma":[0.01638037,0.6914188,0.02217033,0.01163049,0.0617416,0.0002487044,0.001549813,0.0006482397,0.1942116],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02588411,"threshold_uncertainty_score":0.08659101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389152905008087,"score_gpt":0.2747102020565894,"score_spread":0.2608186730065086,"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."}}