{"id":"W4390993477","doi":"10.1109/biocas58349.2023.10388962","title":"AīCare: An Affordable, Reliable, and Intelligent Senior Care Ecosystem","year":2023,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council","keywords":"Ecosystem; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001484463,0.0005543269,0.0002784528,0.001168164,0.00175942,0.002859876,0.001241583,0.001191734,0.00324204],"category_scores_gemma":[0.002141166,0.000228835,0.0005105151,0.000883247,0.001029438,0.00298257,0.004954456,0.001042987,0.001297721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256083,"about_ca_system_score_gemma":0.00407411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305568,"about_ca_topic_score_gemma":0.009002961,"domain_scores_codex":[0.9989209,0.0002956271,0.00006291612,0.0001119502,0.0003861651,0.0002224431],"domain_scores_gemma":[0.9982229,0.0001525356,0.0001100194,0.0001949356,0.0004665024,0.0008530605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008988781,0.004074634,0.09568183,0.001451656,0.0001697346,0.003331807,0.01738772,0.006891491,0.05195658,0.07393262,0.06697632,0.6772467],"study_design_scores_gemma":[0.0003780932,0.006168243,0.1245025,0.0009579096,0.0004889525,0.004323171,0.02462671,0.05381526,0.01925508,0.02678526,0.7381977,0.0005011791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7029431,0.0008493711,0.1521584,0.005130291,0.0004057707,0.002472873,0.001214042,0.006424313,0.1284018],"genre_scores_gemma":[0.7775375,0.0008158198,0.1961388,0.001156861,0.00005954137,0.001019592,0.001769434,0.0002062409,0.02129617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005305568,"threshold_uncertainty_score":0.01084572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708644070471589,"score_gpt":0.2647588200904381,"score_spread":0.2376723793857222,"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."}}