{"id":"W2784307384","doi":"","title":"Alignment of 6-Dof Whole-Body Vibration Data","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Whole body vibration; Computer science; Vibration; Computer vision; Physics; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003966193,0.001046599,0.0007101572,0.001411605,0.0004500538,0.0007822668,0.0003861149,0.0008038243,0.01293743],"category_scores_gemma":[0.002176816,0.0003250272,0.0004579818,0.00137772,0.0002119822,0.0005679517,0.0008065504,0.0007971241,0.005521174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494224,"about_ca_system_score_gemma":0.000659752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901608,"about_ca_topic_score_gemma":0.003024591,"domain_scores_codex":[0.9993644,0.00006476683,0.00003756368,0.0001565028,0.0002803815,0.00009638182],"domain_scores_gemma":[0.9993237,0.00007688093,0.00005779285,0.000115075,0.0003692182,0.00005743067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00218639,0.0003359558,0.01276637,0.0007344707,0.0001623131,0.0004142535,0.0006485824,0.03033633,0.350729,0.00134619,0.02377184,0.5765683],"study_design_scores_gemma":[0.0001995423,0.001586907,0.397251,0.0003040275,0.0002027468,0.001837259,0.001309354,0.2144902,0.2600737,0.004367666,0.1179441,0.0004335082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2352572,0.0009653514,0.7090336,0.0004881872,0.002091011,0.0005702873,0.01740332,0.009402229,0.02478881],"genre_scores_gemma":[0.7406583,0.0006369634,0.2219663,0.0002311015,0.0002708623,0.0005333659,0.01913535,0.001346708,0.01522108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01293743,"threshold_uncertainty_score":0.04328001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06743257227905439,"score_gpt":0.3796870396987291,"score_spread":0.3122544674196748,"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."}}