{"id":"W2208601773","doi":"10.1109/cit/iucc/dasc/picom.2015.351","title":"Assist-Me - A Volunteer Mobile Emergency System to Assist Elderly People","year":2015,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Intervention (counseling); Elderly people; Autonomy; Computer science; Medical emergency; Internet privacy; Computer security; Medicine; Nursing; Gerontology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007952742,0.000269362,0.0004237014,0.0002327075,0.0001382522,0.00031521,0.001120583,0.0001114266,0.0001832415],"category_scores_gemma":[0.0001085785,0.0002465742,0.0001601338,0.001028494,0.0000129596,0.0009179611,0.000439832,0.0001426317,0.004481076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082954,"about_ca_system_score_gemma":0.000267699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546665,"about_ca_topic_score_gemma":0.002008889,"domain_scores_codex":[0.9972256,0.0002119546,0.0005603043,0.0007462764,0.0007688107,0.0004870237],"domain_scores_gemma":[0.9974093,0.00008803351,0.0001632425,0.001105682,0.0006346513,0.000599134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007199366,0.001111179,0.0956193,0.000416568,0.0003542427,0.0001042195,0.01586454,0.0002128038,0.001809705,0.03136668,0.4948773,0.3581914],"study_design_scores_gemma":[0.004904676,0.004281367,0.08045936,0.00064868,0.0001407179,0.001344932,0.01938432,0.1305715,0.003875654,0.001033957,0.7480086,0.005346218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1108532,0.0001496111,0.8285725,0.0008428263,0.003684038,0.0009137481,0.00001526282,0.001169286,0.05379957],"genre_scores_gemma":[0.985249,7.076887e-7,0.003433791,0.0001372479,0.0002151382,0.0004356124,0.000004672146,0.00002362689,0.01050021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8743958,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040325145579167,"score_gpt":0.2709484802186478,"score_spread":0.2405452287628561,"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."}}