{"id":"W652762210","doi":"10.1007/978-3-642-21535-3","title":"Toward useful services for elderly and people with disabilities : 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, Montreal, Canada, June 20-22, 2011: proceedings","year":2011,"lang":"en","type":"book","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Telematics; Health care; Gerontology; Library science; Telecommunications; Engineering; Medicine; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005346508,0.0006166665,0.0003820219,0.0008042342,0.0006290802,0.002155065,0.0007681945,0.0009683943,0.01984519],"category_scores_gemma":[0.0005639002,0.0002464391,0.0002984045,0.001061597,0.0003272097,0.001265123,0.001258141,0.0008839644,0.007296931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064037,"about_ca_system_score_gemma":0.0026353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03414819,"about_ca_topic_score_gemma":0.1020612,"domain_scores_codex":[0.9998091,0.00002105258,0.00001006962,0.00002644905,0.00009826144,0.00003517158],"domain_scores_gemma":[0.9996555,0.00003919152,0.000009872747,0.00001041221,0.0002028947,0.00008207052],"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":[0.00003967523,0.00004543615,0.0007093738,0.0004271722,0.00001052841,0.00007100997,0.0004085514,0.0002766454,0.002426265,0.002427381,0.5379437,0.4552143],"study_design_scores_gemma":[0.00001493975,0.00004982781,0.005598472,0.0006267806,0.00003003327,0.0003284626,0.0009369312,0.001685336,0.002764354,0.002607456,0.9853336,0.00002385931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02728464,0.3356242,0.1727888,0.05363628,0.02430578,0.0006993208,0.008232947,0.007520623,0.3699074],"genre_scores_gemma":[0.05839381,0.1429982,0.06514165,0.005793003,0.001543036,0.0002565966,0.009406165,0.0006766751,0.7157909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9658518,"threshold_uncertainty_score":0.06789887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04785022847265109,"score_gpt":0.2483245848923299,"score_spread":0.2004743564196788,"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."}}