{"id":"W2086582601","doi":"10.1139/h10-095","title":"A comprehensive evaluation of motion sensor step-counting error","year":2011,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waistline; Motion sensors; Treadmill; Mathematics; Tilt (camera); Motion (physics); Simulation; Computer science; Artificial intelligence; Medicine; Physical therapy; Geometry; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002707079,0.0005232592,0.0004946829,0.000663661,0.0001855287,0.0003695076,0.0003227963,0.0003514022,0.001203548],"category_scores_gemma":[0.01512215,0.0001699369,0.0003321476,0.0005482396,0.00018059,0.0004371373,0.0003704057,0.0001820662,0.0002702778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005316,"about_ca_system_score_gemma":0.0001355199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005103318,"about_ca_topic_score_gemma":0.001533198,"domain_scores_codex":[0.997554,0.0008613701,0.0003654688,0.0002770639,0.0008826176,0.00005957461],"domain_scores_gemma":[0.9883773,0.005525984,0.002793224,0.0007606609,0.002327891,0.0002149942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003317461,0.0003901766,0.8631157,0.0004166502,0.0006218146,0.0001879172,0.0006084962,0.001505546,0.02250722,0.00006537762,0.0004113771,0.1068524],"study_design_scores_gemma":[0.00002324949,0.001831217,0.9899243,0.0000260837,0.0001103664,0.0004799355,0.0002118153,0.001555946,0.005351214,0.0000433234,0.0004185513,0.00002406734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942772,0.0002566477,0.004169077,0.00001570011,0.00001450463,0.00006540956,0.0004180724,0.00003943315,0.0007441321],"genre_scores_gemma":[0.9932053,0.0001274839,0.005573501,0.00003221312,0.00001218079,0.00007009642,0.0005225365,0.00001545033,0.0004412603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002707079,"threshold_uncertainty_score":0.01431656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05469479635305054,"score_gpt":0.3084978461372977,"score_spread":0.2538030497842472,"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."}}