{"id":"W2915318211","doi":"10.3390/s19050984","title":"Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Transport Systems and Technology","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"","keywords":"Pressure sensor; Count data; Computer science; Reliability engineering; Engineering; Statistics; Mathematics; 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":[0.00009131328,0.0001197535,0.0002263772,0.00008251418,0.00002292947,0.000008351544,0.000065794,0.0001320533,0.00001080116],"category_scores_gemma":[0.000007642402,0.0001167924,0.00002677581,0.00007477847,0.00002683278,0.00008860778,0.000006649686,0.00007478958,0.00000219698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001254661,"about_ca_system_score_gemma":0.000009700466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007134615,"about_ca_topic_score_gemma":0.000009700504,"domain_scores_codex":[0.9993806,0.00001561138,0.0002026397,0.0001489614,0.00007421304,0.0001779423],"domain_scores_gemma":[0.9996176,0.00005075006,0.00005014661,0.0002103037,0.0000346716,0.00003653114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001314421,0.0000535405,0.007334869,0.001403878,0.0003266854,0.000009280139,0.001202315,0.7610741,0.2218843,0.0009069191,0.00005545777,0.005617221],"study_design_scores_gemma":[0.001113041,0.000164535,0.002182674,0.00009157684,0.00006171067,0.00002743851,0.000418453,0.9336196,0.05308519,0.000049826,0.008939138,0.0002468834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944797,0.0001475631,0.004316879,0.000006696798,0.0001761145,0.000605872,0.00003340054,0.0001761647,0.00005756476],"genre_scores_gemma":[0.9904122,0.00001394041,0.009457574,0.000003482676,0.00001653005,0.000005799415,0.000005660155,0.00003366663,0.00005109119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1725454,"threshold_uncertainty_score":0.4762654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439045319731939,"score_gpt":0.2226653161931016,"score_spread":0.2082748629957822,"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."}}