{"id":"W2935968606","doi":"10.1016/j.joca.2019.02.091","title":"Preliminary test of a smart shoe for training foot progression angle during walking","year":2019,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Heel; Vibration; Gait; Computer science; Limiting; Simulation; Physical medicine and rehabilitation; Accelerometer; Inertial measurement unit; Acoustics; Engineering; Artificial intelligence; Medicine; Structural engineering; Physics; Mechanical 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":[0.0001175637,0.0001288413,0.0002116219,0.00005739347,0.00005733186,0.000031271,0.000068306,0.00008767202,0.00005951283],"category_scores_gemma":[0.00002969545,0.0001267086,0.00006558817,0.0000750834,0.00002366509,0.0001025204,0.00004738489,0.00006763427,0.000003296794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009574583,"about_ca_system_score_gemma":0.000007288651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.360231e-7,"about_ca_topic_score_gemma":0.000008360222,"domain_scores_codex":[0.9992794,0.00000849215,0.0001876211,0.0001856703,0.00009205557,0.0002467735],"domain_scores_gemma":[0.999645,0.00009148085,0.00003675108,0.0001522494,0.00002620845,0.0000483047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000366524,0.00001595912,0.001254214,0.0003530243,0.000002579517,0.00001431077,0.001119466,0.00001328685,0.8588034,0.00005194072,0.0001126948,0.1382225],"study_design_scores_gemma":[0.002618143,0.002968542,0.001767392,0.001586082,0.00003554478,0.0001268317,0.001862311,0.00146617,0.9781666,0.0003616191,0.008429265,0.0006115316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951504,0.002749662,0.00004298639,0.00001334523,0.0002144788,0.0003608337,0.0002062398,0.0001152247,0.001146833],"genre_scores_gemma":[0.9989917,0.00009955079,0.00064656,0.000007660326,0.0000420572,0.00006817276,0.00002062624,0.00002876731,0.0000949048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137611,"threshold_uncertainty_score":0.5167029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071482056760209,"score_gpt":0.2133573893755619,"score_spread":0.2026425688079598,"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."}}