{"id":"W3043207989","doi":"10.1016/j.tvjl.2020.105518","title":"Echocardiographic parameters for the assessment of congestive heart failure in dogs with myxomatous mitral valve disease and moderate to severe mitral regurgitation","year":2020,"lang":"en","type":"article","venue":"The Veterinary Journal","topic":"Cardiovascular Conditions and Treatments","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cardiology; Internal medicine; Medicine; Heart failure; Mitral regurgitation; Fractional shortening; Mitral valve; Regurgitation (circulation); Cardiac function curve","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190224,0.0001180347,0.0002508794,0.00006985362,0.0001392227,0.00004380256,0.00005350388,0.00002121556,0.00000317279],"category_scores_gemma":[0.0000198439,0.00006325437,0.0005067131,0.0001730186,0.00008207601,0.00008691653,0.00002069979,0.0001586517,3.861574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003244959,"about_ca_system_score_gemma":0.00008163144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008478044,"about_ca_topic_score_gemma":0.000002788361,"domain_scores_codex":[0.9992537,0.0001063081,0.000160881,0.0001415812,0.0001899603,0.0001475991],"domain_scores_gemma":[0.9994214,0.0001163718,0.00005798067,0.0001504175,0.00007789239,0.0001759369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04190142,0.001039943,0.7798932,0.0008821556,0.04325484,0.006624758,0.009708737,0.09720936,0.003457042,0.0005971371,0.003804176,0.01162728],"study_design_scores_gemma":[0.005292485,0.003383266,0.9797919,0.0002466018,0.001781922,0.004898404,0.0009293695,0.002991448,0.00002332663,0.0003854312,0.0001450754,0.0001307271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872727,0.0004886521,0.003061491,0.008287468,0.00003209081,0.000789076,0.00004760676,0.000007967569,0.00001293598],"genre_scores_gemma":[0.9948472,0.00006330061,0.004566078,0.0003764795,0.00004294259,0.00007548715,0.00000983592,0.00001401213,0.000004684064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1998988,"threshold_uncertainty_score":0.2579438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892576123500535,"score_gpt":0.2908126329632786,"score_spread":0.2618868717282732,"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."}}