{"id":"W2464060858","doi":"","title":"A Context-aware Healthcare Architecture For The
\\nElderly","year":2015,"lang":"en","type":"book-chapter","venue":"Spectrum Research Repository (Concordia University)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Health care; Healthcare service; Context (archaeology); Automation; Architecture; Service (business); Computer science; Order (exchange); Population; Knowledge management; Process management; Business; Medicine; Engineering; Political science; Marketing; Geography","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":[0.0004513722,0.0003884801,0.0002150966,0.0003533394,0.0008011414,0.002903602,0.000975305,0.001048802,0.00429545],"category_scores_gemma":[0.0005525516,0.0003861289,0.0005234969,0.0003959515,0.0005891313,0.002316673,0.002075237,0.001610817,0.002066182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133296,"about_ca_system_score_gemma":0.001912275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007012613,"about_ca_topic_score_gemma":0.009635914,"domain_scores_codex":[0.9996715,0.00006019846,0.00002923466,0.00008559175,0.0001067199,0.00004674555],"domain_scores_gemma":[0.9998727,0.00002039626,0.000006634009,0.00002837049,0.0000390287,0.00003291179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009998672,0.0001270494,0.001956274,0.0004556321,0.00006505901,0.0006443681,0.004291432,0.01963988,0.02751835,0.5175257,0.05181098,0.3758653],"study_design_scores_gemma":[0.00002246962,0.00008383767,0.001703205,0.000502482,0.00007503007,0.001008887,0.0006707122,0.08505733,0.009912153,0.1041837,0.7967094,0.00007090607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321223,0.004771207,0.9000656,0.003627481,0.0004125233,0.0001785253,0.0002119531,0.004787408,0.07273307],"genre_scores_gemma":[0.2278127,0.007178851,0.6464252,0.002137523,0.0001679106,0.0002881549,0.001121353,0.0005010267,0.1143673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007012613,"threshold_uncertainty_score":0.01436967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08755742059366062,"score_gpt":0.2967106485889397,"score_spread":0.2091532279952791,"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."}}