{"id":"W2104640696","doi":"10.12688/f1000research.4790.2","title":"Combining low sampling frequency smartphone sensors and video for a Wearable Mobility Monitoring System","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stairs; Accelerometer; False positive paradox; Wearable computer; Sitting; Computer science; Gait; Context (archaeology); Real-time computing; Activities of daily living; Activity recognition; Simulation; Physical medicine and rehabilitation; Artificial intelligence; Embedded system; Medicine; Engineering; Physical therapy; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002656104,0.0005113885,0.0003431447,0.0004228304,0.0001462364,0.000409145,0.0006492352,0.0004153296,0.003802502],"category_scores_gemma":[0.0006442116,0.0001367269,0.0001640811,0.0002134151,0.0001142171,0.0004053554,0.0003975609,0.0001465215,0.001009522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675065,"about_ca_system_score_gemma":0.0002674639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565924,"about_ca_topic_score_gemma":0.002554945,"domain_scores_codex":[0.9997151,0.00004498159,0.00002056346,0.00007303741,0.0001220731,0.00002410078],"domain_scores_gemma":[0.9998024,0.00002847284,0.0000232168,0.00001306863,0.0001181431,0.00001467186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001471388,0.0002234743,0.007464873,0.0003642883,0.00006173603,0.0007993699,0.0001243589,0.002716239,0.6851842,0.0005015022,0.0081899,0.2928985],"study_design_scores_gemma":[0.0003115796,0.004571116,0.05377031,0.0001697422,0.0002382143,0.002812243,0.0002929074,0.2276532,0.6724574,0.0006914694,0.0369038,0.0001280154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6232827,0.0006568254,0.3571368,0.0006516729,0.0003808368,0.0008782002,0.001380071,0.007660215,0.007972594],"genre_scores_gemma":[0.8603691,0.0002867221,0.1286167,0.0003463519,0.000113597,0.0004060386,0.000901336,0.00008418335,0.008876016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003802502,"threshold_uncertainty_score":0.01272064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1511383319480872,"score_gpt":0.3654253436496069,"score_spread":0.2142870117015197,"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."}}