{"id":"W4386283153","doi":"10.18280/mmep.100415","title":"Loose Garments Effects on Wearable Sensors in Human Activity Tracking Applications","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Clothing; Tracking (education); Computer science; Human–computer interaction; Embedded system; Psychology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002339949,0.0001423345,0.0001879483,0.0001519675,0.00006282427,0.00003121764,0.00006730402,0.00008582761,0.0000111341],"category_scores_gemma":[0.000008633713,0.0001410369,0.00004358383,0.0001841855,0.00001447093,0.00003560507,0.00002212629,0.0002056528,0.0001194817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002092763,"about_ca_system_score_gemma":0.000002496406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012624,"about_ca_topic_score_gemma":9.855818e-7,"domain_scores_codex":[0.9991549,0.00001672177,0.0001701103,0.0002649163,0.00007717012,0.0003162173],"domain_scores_gemma":[0.9995576,0.0001587491,0.00002495095,0.0001804332,0.000006690438,0.00007164534],"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":[0.000006025508,0.0001757155,0.0000477487,0.0007858838,0.00003175764,0.000004244382,0.0009592522,0.9627704,0.002136766,0.02535428,0.00001402141,0.007713899],"study_design_scores_gemma":[0.0005968476,0.00008207838,0.001262442,0.0004427656,0.00001535709,0.000002283906,0.00004376881,0.963804,0.0002684642,0.03298286,0.0002103074,0.0002888473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096023,0.00007165188,0.08745673,0.00005838655,0.00005196503,0.0004011212,0.000001335065,0.0001870344,0.002169521],"genre_scores_gemma":[0.9986783,0.00003185174,0.000538555,0.000009050349,0.00002509844,0.0003001663,0.000002911103,0.00003594426,0.0003780906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08907607,"threshold_uncertainty_score":0.5751316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714862273413858,"score_gpt":0.2789602273079152,"score_spread":0.2518116045737766,"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."}}