{"id":"W4307024086","doi":"10.1016/j.cjca.2022.08.136","title":"EXPLORATORY IN-CLINIC STUDY EVALUATING FEASIBILITY OF JVP HEIGHT ASSESSMENT BY EARLY PROTOTYPE OF MACHINE VISION ALGORITHM","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Heart failure; Algorithm; Central venous pressure; Gold standard (test); Blood pressure; Cardiology; Internal medicine; Heart rate; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009270276,0.0005275041,0.0005578487,0.0003268069,0.0004537961,0.0004898354,0.0006506441,0.0007353689,0.005395824],"category_scores_gemma":[0.002375033,0.0002303892,0.0003540652,0.0001531373,0.0003938715,0.0003748467,0.0004090196,0.0007122386,0.001202087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877799,"about_ca_system_score_gemma":0.0002935427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006416683,"about_ca_topic_score_gemma":0.0008415976,"domain_scores_codex":[0.999433,0.000211271,0.00003155056,0.0001588697,0.00008226992,0.00008298067],"domain_scores_gemma":[0.9978442,0.0007950861,0.0001242493,0.0001982061,0.0004024647,0.0006357292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.06137401,0.08328786,0.5102466,0.0009523445,0.000556902,0.01807167,0.007143347,0.003416889,0.1390731,0.0004368394,0.004974776,0.1704657],"study_design_scores_gemma":[0.005100795,0.3120037,0.6013403,0.00009374004,0.0006454974,0.01214074,0.007204846,0.01692788,0.03990636,0.0003500947,0.004076062,0.0002099886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968185,0.00004729861,0.00206499,0.00004507729,0.00002283258,0.0001898895,0.0001544331,0.00005008457,0.000606881],"genre_scores_gemma":[0.9961848,0.00003936277,0.002203817,0.0001177224,0.00005244149,0.0001497283,0.000215569,0.00001720398,0.001019361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005395824,"threshold_uncertainty_score":0.01805085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04882023774685181,"score_gpt":0.3871976182786772,"score_spread":0.3383773805318254,"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."}}