{"id":"W4394280587","doi":"10.6084/m9.figshare.8072519.v3","title":"Electrocardiography, echocardiography and histological data","year":2020,"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; 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":[0.0006535816,0.0010699,0.0009712832,0.001918552,0.0003274991,0.0003200205,0.0003684637,0.0005359371,0.01013316],"category_scores_gemma":[0.0007600558,0.0001634049,0.0004544188,0.001721893,0.0003424032,0.0003718387,0.0003049582,0.001079294,0.003239563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078942,"about_ca_system_score_gemma":0.0003260436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006292627,"about_ca_topic_score_gemma":0.001015659,"domain_scores_codex":[0.9994919,0.00006111991,0.00007607003,0.0001273118,0.0001961948,0.00004736571],"domain_scores_gemma":[0.9989939,0.00006901677,0.0002362129,0.0001819068,0.0003622284,0.0001567169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005457426,0.001335747,0.04172022,0.001771174,0.0002303026,0.003082101,0.0006094557,0.0007368839,0.8537304,0.0007843976,0.007320143,0.08322165],"study_design_scores_gemma":[0.0003423326,0.008136445,0.7321607,0.000322084,0.0005244522,0.008709996,0.0006596462,0.001881543,0.1860864,0.001180999,0.05974682,0.0002485928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.758419,0.009614618,0.0824987,0.0005055094,0.0006888946,0.005162282,0.08376032,0.002996073,0.05635459],"genre_scores_gemma":[0.7834078,0.01454847,0.06146945,0.001155993,0.0007075902,0.006579199,0.05866947,0.0008881927,0.07257377],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01013316,"threshold_uncertainty_score":0.03389877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591810423244918,"score_gpt":0.2798886843830944,"score_spread":0.2207076420586026,"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."}}