{"id":"W4413984102","doi":"10.1016/j.gaitpost.2025.07.208","title":"☆Accurate steady-state VO2 estimation with less metabolic data using calibrated patient-specific Bayesian regression models","year":2025,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bayesian probability; Regression; Statistics; Bayesian linear regression; Regression analysis; Estimation; Linear regression; Computer science; Mathematics; Econometrics; Bayesian inference; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000142333,0.0002679172,0.0004010364,0.0001724209,0.0001735523,0.0000746424,0.0002175414,0.0001423106,0.00001134185],"category_scores_gemma":[0.00001551598,0.0001852,0.00003705049,0.0005192378,0.00004881939,0.0003773333,0.00008857669,0.0003488326,0.000004114132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000651608,"about_ca_system_score_gemma":0.0002048895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002576901,"about_ca_topic_score_gemma":0.00002281483,"domain_scores_codex":[0.9984418,0.00009963458,0.0003163435,0.0005036089,0.0003248905,0.0003137788],"domain_scores_gemma":[0.9985785,0.00003250781,0.0001439075,0.0009691171,0.0001513519,0.0001246351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005009194,0.0009902514,0.01051646,0.0006853298,0.001305156,0.0005933307,0.006759941,0.08205295,0.0512069,0.002515106,0.006541647,0.8318237],"study_design_scores_gemma":[0.002131505,0.000126321,0.003982174,0.001514309,0.0001857423,0.00004674761,0.0004394224,0.9820558,0.003398189,0.0006194593,0.005187054,0.0003133209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8549443,0.002491512,0.1396501,0.0007747615,0.0004379233,0.0006128846,0.0001157686,0.0001985844,0.0007742131],"genre_scores_gemma":[0.9896896,0.0002331226,0.008440417,0.0002872336,0.00009996638,0.000009600995,0.0006076905,0.00004521364,0.0005871732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9000028,"threshold_uncertainty_score":0.7552235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987383340115003,"score_gpt":0.309493850006481,"score_spread":0.269620016605331,"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."}}