{"id":"W3119597415","doi":"10.2196/24194","title":"Measurement of Human Walking Movements by Using a Mobile Health App: Motion Sensor Data Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Nevada, Las Vegas","keywords":"Physical medicine and rehabilitation; mHealth; Motion analysis; Preferred walking speed; Accelerometer; Computer science; Physical therapy; Psychology; Computer vision; Artificial intelligence; Medicine","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":[0.0003901963,0.0005152419,0.0004141627,0.001135981,0.0001769586,0.0006303258,0.0003733827,0.0004975318,0.001552774],"category_scores_gemma":[0.001102994,0.0001410401,0.0002852752,0.0007135093,0.0001745492,0.0004428707,0.0003387525,0.0002121174,0.0006861142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000166874,"about_ca_system_score_gemma":0.0002637463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014868,"about_ca_topic_score_gemma":0.001565626,"domain_scores_codex":[0.9994506,0.0001128616,0.00005352173,0.0001099156,0.0002401921,0.00003293601],"domain_scores_gemma":[0.9991834,0.0002180856,0.0001379274,0.00005020745,0.0003726082,0.0000378752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001081137,0.0006703075,0.1422973,0.00286194,0.0004519068,0.0007080605,0.001055898,0.002743985,0.2377589,0.00138755,0.007747626,0.6012353],"study_design_scores_gemma":[0.000196564,0.004685418,0.6644273,0.000874879,0.0009618989,0.007421632,0.002022431,0.09839098,0.1726653,0.002162817,0.04588706,0.0003037454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6495032,0.006094021,0.3186708,0.000979253,0.0005041044,0.001646322,0.005294239,0.002711397,0.01459665],"genre_scores_gemma":[0.8546265,0.002198658,0.1371138,0.0003914056,0.0002302796,0.0009310504,0.001440426,0.00006312778,0.003004791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001552774,"threshold_uncertainty_score":0.005194485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420237703029756,"score_gpt":0.4627022689427563,"score_spread":0.3206784986397807,"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."}}