{"id":"W4253067305","doi":"10.1063/5.0025859.1","title":"10.1063/5.0025859.1","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; Materials science; 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":[0.00003790718,0.0007015172,0.001104525,0.0001828253,0.00008310825,0.0003004989,0.0002382566,0.0003791142,0.00256739],"category_scores_gemma":[0.0003004589,0.0006074319,0.00266095,0.0003595273,0.00009296135,0.0002232592,0.0002515371,0.0004457546,0.04297417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196846,"about_ca_system_score_gemma":0.0001988125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007932413,"about_ca_topic_score_gemma":0.00000402411,"domain_scores_codex":[0.9973138,0.00002506623,0.0004759481,0.0008701275,0.0007701737,0.0005448602],"domain_scores_gemma":[0.9979337,0.00009802988,0.000190278,0.0009600978,0.0001062523,0.0007116675],"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":[0.0005415599,0.000606126,0.0003636117,0.0003828502,0.001934128,0.001081082,0.000006018944,2.109569e-7,9.10608e-7,0.000003055677,0.9900554,0.005024991],"study_design_scores_gemma":[0.0020262,0.0009478479,0.003371011,0.0002079504,0.002109688,0.00009281866,0.00002180923,0.000002003469,0.000002841129,0.00002505994,0.990676,0.0005167091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00026108,0.0008396012,0.000001852446,0.00008098089,0.0003599891,0.0007564598,0.9847749,0.0001831404,0.01274193],"genre_scores_gemma":[0.004959418,0.0001406191,0.00000919218,0.0007474764,0.0009004461,0.0001011838,0.989042,0.00009122844,0.004008376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04040678,"threshold_uncertainty_score":0.9996377,"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."}}