{"id":"W4240396182","doi":"10.21203/rs.3.rs-71474/v2","title":"Evaluation of Automated Microvascular Flow Analysis Software AVA 4: A Validation Study","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Intraclass correlation; Reproducibility; Gold standard (test); Medicine; Perioperative; Software; Image analysis; Bland–Altman plot; Limits of agreement; Nuclear medicine; Medical physics; Statistics; Computer science; Radiology; Mathematics; Artificial intelligence; Image processing; Image (mathematics); Digital image","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":[],"consensus_categories":[],"category_scores_codex":[0.02161435,0.001039741,0.0006337756,0.001529836,0.000411037,0.0008254813,0.001611337,0.0009772312,0.0009194529],"category_scores_gemma":[0.02874552,0.0003899195,0.0006536395,0.00072973,0.001089274,0.000648835,0.001105648,0.0005242334,0.0003953051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078265,"about_ca_system_score_gemma":0.0008448247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476056,"about_ca_topic_score_gemma":0.0009001589,"domain_scores_codex":[0.9913173,0.004611305,0.0005905247,0.001207797,0.002017574,0.000255467],"domain_scores_gemma":[0.9734626,0.01178505,0.00200952,0.003061881,0.009153394,0.0005275035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0149028,0.006517409,0.2992108,0.001806374,0.001559766,0.0009298979,0.002982941,0.02695698,0.2505543,0.001618327,0.00439393,0.3885666],"study_design_scores_gemma":[0.00190061,0.05423835,0.481521,0.0004990248,0.001369986,0.003741014,0.0009120332,0.228617,0.2114992,0.001252976,0.01407778,0.0003708797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403997,0.0006944246,0.0557803,0.00006085856,0.00005682804,0.0009121078,0.0006889746,0.000505882,0.0009010371],"genre_scores_gemma":[0.9306917,0.000269673,0.06435934,0.0001133355,0.00005761834,0.001253656,0.002578708,0.0001863437,0.000489709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161435,"threshold_uncertainty_score":0.114309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236642615455178,"score_gpt":0.4812238548076085,"score_spread":0.3575595932620907,"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."}}