{"id":"W2899075123","doi":"10.1115/1.4041902","title":"A Force-Sensing Insole to Quantify Impact Loading to the Foot","year":2018,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cadaveric spasm; Ankle; Crash; Physical medicine and rehabilitation; Foot (prosody); Load cell; Crash test; Computer science; Work (physics); Impact; Simulation; Medicine; Engineering; Structural engineering; Surgery; Mechanical engineering","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":[0.0004275552,0.0001748332,0.0002984435,0.000437838,0.00006237561,0.00006560478,0.0002426429,0.00007230973,0.00004729691],"category_scores_gemma":[0.0001350084,0.0001239425,0.0002576917,0.0008643886,0.000008014182,0.0001764107,0.00001888222,0.0002364801,0.00006342129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200372,"about_ca_system_score_gemma":0.0000205924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001147346,"about_ca_topic_score_gemma":0.00002054675,"domain_scores_codex":[0.998754,0.00001042331,0.0005173162,0.00009532479,0.0002845276,0.0003384509],"domain_scores_gemma":[0.999189,0.00007804108,0.00006030892,0.0001850978,0.0001363343,0.0003512076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007170239,0.0000109175,0.00002192379,0.0000212681,0.0002769795,0.00001603852,0.0008959881,0.3686436,0.6197365,0.0001344625,0.0004939156,0.009676699],"study_design_scores_gemma":[0.0008105583,0.001691737,0.005067072,0.0005149997,0.0002470064,0.0002490194,0.0003214371,0.7055104,0.2578142,0.0001232106,0.02686661,0.0007837361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3583083,0.00007213961,0.6405379,0.0003945494,0.0005232437,0.0000636437,0.000005394229,0.00006098954,0.00003381129],"genre_scores_gemma":[0.9908279,0.00001300332,0.008371789,0.000129439,0.0006070478,6.932207e-7,8.099482e-7,0.0000387064,0.00001058064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6325195,"threshold_uncertainty_score":0.505423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360509878668667,"score_gpt":0.2631352404052252,"score_spread":0.2495301416185385,"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."}}