{"id":"W4394279784","doi":"10.6084/m9.figshare.8072519","title":"Electrocardiography, echocardiography, myocyte shortening and histological 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":"Cardiology; Internal medicine; Electrocardiography; Medicine; Myocyte","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":[0.0005437637,0.000792567,0.0005157844,0.002032751,0.0003687986,0.0002342495,0.0002443784,0.0004787639,0.006987366],"category_scores_gemma":[0.0003226656,0.0001977033,0.0003555399,0.001025415,0.0003653764,0.0003824437,0.0002506299,0.0007102424,0.001421823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947045,"about_ca_system_score_gemma":0.0002552674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000786482,"about_ca_topic_score_gemma":0.001678139,"domain_scores_codex":[0.999698,0.00003059526,0.00004080451,0.0001023851,0.00008812917,0.00004005854],"domain_scores_gemma":[0.9995454,0.00002997706,0.00009842917,0.00007015731,0.0001575423,0.00009847331],"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":[0.001290721,0.0001982932,0.006008226,0.0002484856,0.00003306252,0.0004986959,0.0001420757,0.0001350435,0.9801017,0.000189375,0.0004519487,0.01070246],"study_design_scores_gemma":[0.000200891,0.003780405,0.4422038,0.0001052861,0.0003457906,0.004757133,0.000597246,0.001903457,0.5226277,0.0005820082,0.02275796,0.0001383311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8928373,0.003696392,0.05902468,0.0001548202,0.0002578557,0.00150685,0.02290624,0.001326482,0.01828939],"genre_scores_gemma":[0.8431628,0.006384517,0.07530002,0.0003836906,0.000169249,0.00298115,0.02419613,0.000647443,0.04677494],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006987366,"threshold_uncertainty_score":0.02337503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07098143291403147,"score_gpt":0.2965558205981409,"score_spread":0.2255743876841094,"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."}}