{"id":"W4394416125","doi":"10.6084/m9.figshare.8072519.v2","title":"Electrocardiography and echocardiography data","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrocardiography; Cardiology; Internal medicine; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106064,0.001768741,0.002130231,0.002018462,0.000471054,0.001524206,0.001651606,0.001962255,0.09206706],"category_scores_gemma":[0.008698546,0.0003838084,0.001168995,0.003850351,0.0002534177,0.0007393218,0.001118253,0.001582184,0.04785275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005643199,"about_ca_system_score_gemma":0.001162183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005533039,"about_ca_topic_score_gemma":0.009719214,"domain_scores_codex":[0.9988812,0.0001750768,0.0002570458,0.0004116637,0.0001794815,0.00009553612],"domain_scores_gemma":[0.996366,0.001413658,0.000548635,0.0007568701,0.0006863048,0.0002284557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007266818,0.00008624772,0.007170312,0.00425331,0.0002596336,0.0001449989,0.00003862648,0.0006209741,0.0004734961,0.0004981924,0.9748556,0.01087197],"study_design_scores_gemma":[0.001703145,0.0001620593,0.03956152,0.002005894,0.0004060374,0.0005834678,0.0001068984,0.001006688,0.0008338866,0.002847653,0.9506748,0.0001079834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003379158,0.0001334194,0.0001119063,0.00005351583,0.00002132201,0.00003444911,0.9986697,0.0001256781,0.0005121204],"genre_scores_gemma":[0.001804896,0.0002015076,0.0005368014,0.0001288484,0.00003189675,0.0004291211,0.9958222,0.00007092258,0.000973792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09206706,"threshold_uncertainty_score":0.307995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05334712402104139,"score_gpt":0.2899211203432223,"score_spread":0.2365739963221809,"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."}}