{"id":"W1978768038","doi":"10.1016/j.jbiomech.2006.08.008","title":"Quantification of the input signal for soft tissue vibration during running","year":2006,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Accelerometer; SIGNAL (programming language); Vibration; Compartment (ship); Heel; Soft tissue; Acoustics; Ground reaction force; Biomedical engineering; Computer science; Materials science; Structural engineering; Physics; Engineering; Kinematics; Geology; Medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004280907,0.0004276461,0.0002849197,0.000375068,0.00015255,0.0004086963,0.0002073973,0.0006043127,0.002451935],"category_scores_gemma":[0.001829705,0.0001775178,0.0001823967,0.0001936808,0.0002098237,0.0002726132,0.0002847397,0.0002562164,0.0003106324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351228,"about_ca_system_score_gemma":0.0002076282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005869726,"about_ca_topic_score_gemma":0.0006958636,"domain_scores_codex":[0.9998199,0.00004495097,0.000007069619,0.00003216493,0.00006733817,0.00002857497],"domain_scores_gemma":[0.9993306,0.0004560172,0.00003240698,0.00001997483,0.000113531,0.00004742677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001715065,0.0000912854,0.005544589,0.0003417457,0.00003983661,0.0001381237,0.0001906671,0.003249375,0.8948617,0.0002164657,0.0002397708,0.09337143],"study_design_scores_gemma":[0.0001838096,0.002755207,0.3803833,0.0002499032,0.0003242789,0.001598081,0.0003014778,0.1147264,0.4960006,0.0008355893,0.002538092,0.0001032083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689504,0.0005992121,0.1272952,0.0001279397,0.00006348832,0.0001173993,0.000295717,0.0003187038,0.002231969],"genre_scores_gemma":[0.9828684,0.0001835625,0.01556258,0.00005143032,0.00002910223,0.00005034488,0.0001407349,0.0000551763,0.001058678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002451935,"threshold_uncertainty_score":0.008202493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784564456472753,"score_gpt":0.3020687175998532,"score_spread":0.2842230730351256,"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."}}