{"id":"W4288064742","doi":"10.5703/1288284317495","title":"Wearable Chest Sensor for Running Stride and Respiration Detection","year":2022,"lang":"en","type":"report","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"STRIDE; Wearable computer; Computer science; Respiration; Real-time computing; Physical medicine and rehabilitation; Medicine; Embedded system; Computer security; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007817171,0.0001576471,0.000223711,0.0002628035,0.0004433118,0.0002240185,0.0007052243,0.0002211957,0.00001440879],"category_scores_gemma":[0.0002995612,0.0001551901,0.00006251782,0.0002921899,0.00003683956,0.0002809546,0.0006100161,0.0003709901,0.000002342525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674606,"about_ca_system_score_gemma":0.000305292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003004089,"about_ca_topic_score_gemma":0.0001000982,"domain_scores_codex":[0.9987081,0.00003345759,0.0003046565,0.0004152332,0.0003406089,0.0001979528],"domain_scores_gemma":[0.9983884,0.0001505018,0.0002773803,0.0009416663,0.0002071204,0.00003500857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008590704,0.00002530232,0.0001974488,0.0001742283,0.0000326015,0.000001846944,0.00006797414,0.00008974686,0.001165511,0.005288832,0.003958751,0.9889892],"study_design_scores_gemma":[0.0002625211,0.0002270341,0.0006291069,0.00004960705,0.00001760336,0.00005335436,0.0001383332,0.01958539,0.02009294,0.001752453,0.9568129,0.0003787892],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003328283,0.004106793,0.9671354,0.001750127,0.0009693811,0.001012799,0.00001355027,0.001913638,0.01977001],"genre_scores_gemma":[0.5258281,0.02018272,0.4067628,0.0006219737,0.0005230321,0.002394161,0.0001301661,0.0001418596,0.04341519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9886104,"threshold_uncertainty_score":0.6328469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0675877720478381,"score_gpt":0.2972757193061495,"score_spread":0.2296879472583114,"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."}}