{"id":"W2964143491","doi":"10.1109/wf-iot.2019.8767259","title":"Sensor-enabled Functional-Mobility Assessment: An Exploratory Investigation","year":2019,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00350889,0.0005104931,0.0003333506,0.0007687166,0.0005607703,0.0005560669,0.0006157356,0.0007884101,0.0007994834],"category_scores_gemma":[0.007041862,0.0002445443,0.0005026485,0.000558899,0.0007331424,0.0008698882,0.0008599833,0.000353725,0.0003021516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457657,"about_ca_system_score_gemma":0.0006514489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377214,"about_ca_topic_score_gemma":0.002717722,"domain_scores_codex":[0.9979799,0.001300141,0.0001262995,0.0001497971,0.0002894723,0.0001542924],"domain_scores_gemma":[0.9957326,0.002893549,0.0002931028,0.0002471239,0.000599473,0.0002342218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006243649,0.04047037,0.5668586,0.002718295,0.0005331477,0.009638185,0.07123376,0.01132829,0.07524408,0.002836673,0.002082278,0.2108127],"study_design_scores_gemma":[0.0009552314,0.09102111,0.6602818,0.0004931405,0.0004978749,0.008609874,0.1271116,0.05288726,0.04272138,0.002455333,0.01266208,0.0003033148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962013,0.00003445081,0.002560648,0.00003528061,0.000002030361,0.0003914062,0.0001060655,0.00001936681,0.0006494663],"genre_scores_gemma":[0.9911426,0.0001236117,0.007288734,0.00005035777,0.000005236896,0.0006220917,0.0001544944,0.000005677321,0.0006071648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00350889,"threshold_uncertainty_score":0.01855701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019492502497146,"score_gpt":0.2665501932503768,"score_spread":0.2163552682254054,"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."}}