{"id":"W4252983671","doi":"10.1063/5.0025859.2","title":"10.1063/5.0025859.2","year":2020,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Particle image velocimetry; Mechanics; Flow (mathematics); Planar; Dissipation; Ventricle; Physics; Computer science; Cardiology; Medicine; Thermodynamics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000384335,0.0007007104,0.001104192,0.0001829198,0.00008365262,0.0003002887,0.0002368174,0.0003789782,0.002496587],"category_scores_gemma":[0.0003058634,0.0006068668,0.002650467,0.0003595874,0.00009264318,0.0002189664,0.0002483359,0.0004492515,0.04291546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970845,"about_ca_system_score_gemma":0.0001981399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008136735,"about_ca_topic_score_gemma":0.000003972038,"domain_scores_codex":[0.9973133,0.00002547994,0.0004752903,0.0008713856,0.0007698333,0.0005447781],"domain_scores_gemma":[0.9979293,0.00009898258,0.0001901525,0.0009627968,0.0001063149,0.0007124263],"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":[0.0005362918,0.0006045465,0.0003584772,0.0003808323,0.001934203,0.00107255,0.000006037838,2.196044e-7,8.751494e-7,0.000002971713,0.9899417,0.005161361],"study_design_scores_gemma":[0.002019694,0.0009506359,0.003173594,0.0002114396,0.002107642,0.00009403109,0.00002239529,0.000002063823,0.000002829449,0.00002482594,0.9908745,0.0005163498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002580972,0.0008460486,0.000001887776,0.00008129481,0.0003579372,0.0007422914,0.9848129,0.0001864522,0.01271307],"genre_scores_gemma":[0.005120086,0.000141335,0.000009139305,0.0007255346,0.0008985962,0.00010106,0.9888017,0.00009124925,0.004111343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04041887,"threshold_uncertainty_score":0.9996383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187239915066862,"score_gpt":0.3056852403156105,"score_spread":0.2938128411649419,"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."}}