{"id":"W4394051624","doi":"10.5281/zenodo.3474034","title":"Heart failure ECG analysis, XML files and strain output","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"XML; Computer science; Strain (injury); Heart failure; Cardiology; Database; Internal medicine; Medicine; Operating system","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":[0.0006562149,0.001926734,0.001039435,0.002030541,0.0003785186,0.001040841,0.001546757,0.00145214,0.01651021],"category_scores_gemma":[0.003453507,0.0004909681,0.001450907,0.001929557,0.0002774447,0.0005205468,0.0008849844,0.0009618753,0.01810577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364732,"about_ca_system_score_gemma":0.001035798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122366,"about_ca_topic_score_gemma":0.01808272,"domain_scores_codex":[0.9994665,0.00007111353,0.00008631317,0.0001778411,0.0001346311,0.00006368851],"domain_scores_gemma":[0.9988798,0.0003702998,0.0001038604,0.0003253669,0.0002362787,0.00008435799],"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":[0.0007327959,0.0002247336,0.008791861,0.002195381,0.000282326,0.00025762,0.00005853007,0.004765385,0.002431961,0.0005024583,0.9530599,0.02669712],"study_design_scores_gemma":[0.001897058,0.0003441031,0.08389747,0.0009423955,0.0004671064,0.001185439,0.0001933265,0.02004088,0.007819789,0.004878523,0.8780899,0.0002439727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001880242,0.0001042266,0.0004981301,0.00008418444,0.00003841801,0.00004414474,0.9951494,0.001698031,0.0005031358],"genre_scores_gemma":[0.003097771,0.00008269143,0.001183275,0.00005312306,0.000009237004,0.0001169994,0.994981,0.00007508489,0.0004009503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01651021,"threshold_uncertainty_score":0.05523217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016084023824875,"score_gpt":0.2725026312379824,"score_spread":0.2423417909997336,"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."}}