{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008022151,0.00363395,0.002246288,0.002195856,0.0009588357,0.00320801,0.00380739,0.003516499,0.2390735],"category_scores_gemma":[0.002768346,0.0007016373,0.001314563,0.004960906,0.0006077237,0.001998488,0.0027786,0.001981186,0.5127843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009948773,"about_ca_system_score_gemma":0.001134527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009761045,"about_ca_topic_score_gemma":0.01514417,"domain_scores_codex":[0.999167,0.000126175,0.00007213151,0.0002971286,0.0002119642,0.0001255916],"domain_scores_gemma":[0.9994004,0.0001352544,0.00003959342,0.0002415486,0.0001094179,0.00007393563],"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":[0.00006642626,0.00003233722,0.0006122045,0.000732057,0.00003486092,0.00004171519,0.00001907192,0.0008161353,0.0001806044,0.0005589873,0.985606,0.01129962],"study_design_scores_gemma":[0.0001394738,0.00002600429,0.001444131,0.0002679823,0.00002243515,0.0001062146,0.00005411356,0.001988806,0.0006227337,0.003519817,0.9917733,0.00003488164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002015798,0.0002832947,0.0004656375,0.0001501303,0.0000908029,0.00002521977,0.9927316,0.003124236,0.002927516],"genre_scores_gemma":[0.0005683929,0.0001743604,0.0006204885,0.00007424076,0.00001327549,0.00006911254,0.9968423,0.0001516713,0.0014862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7609265,"threshold_uncertainty_score":0.7997804,"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."}}