{"id":"W4377108362","doi":"10.3390/s23104839","title":"Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Gait; Computer science; Artificial intelligence; Accelerometer; Computer vision; Gait analysis; Ground truth; Mobile device; Physical medicine and rehabilitation; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002471955,0.0001081149,0.0001902148,0.0001294504,0.00007951783,0.00002413348,0.00005400811,0.00003470584,0.0001984804],"category_scores_gemma":[0.0000250029,0.00007855555,0.00005132153,0.0004409864,0.00007367958,0.00005267432,0.000137973,0.00006139051,0.000008208725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003779393,"about_ca_system_score_gemma":0.00005316443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002515424,"about_ca_topic_score_gemma":0.0000389502,"domain_scores_codex":[0.9990695,0.00003070167,0.0002328723,0.0001771111,0.0002819207,0.0002079029],"domain_scores_gemma":[0.9995933,0.00003444039,0.00009205071,0.0001701897,0.00005301158,0.00005698823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003901959,0.0004438517,0.5519432,0.001051856,0.001263615,0.0001409275,0.00586577,0.000904655,0.2704316,0.0005969535,0.09356545,0.07340188],"study_design_scores_gemma":[0.004386629,0.0004055004,0.8632278,0.0003672647,0.0005569662,0.00001574183,0.006566682,0.07098519,0.04927858,0.0001105048,0.003840465,0.0002586429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997099,0.00002055691,0.000008828506,0.0009190067,0.0003005355,0.0005646168,0.000006056191,0.0001509136,0.0009305298],"genre_scores_gemma":[0.9980479,0.00003457972,0.0001491801,0.0001906457,0.0000609221,0.000007852423,0.00002403775,0.00001655843,0.001468248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112846,"threshold_uncertainty_score":0.3203402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042648300557876,"score_gpt":0.3541102345911024,"score_spread":0.3236837515855236,"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."}}