{"id":"W4226018817","doi":"10.3390/electronics11071143","title":"OntoDomus: A Semantic Model for Ambient Assisted Living System Based on Smart Homes","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"AGE-WELL","keywords":"Ontology; Ambient intelligence; Multidisciplinary approach; Computer science; Context (archaeology); Terminology; Protégé; Web Ontology Language; Process (computing); Rotation formalisms in three dimensions; Semantic Web; Assisted living; Home automation; Independent living; OWL-S; Ubiquitous computing; Human–computer interaction; Adaptation (eye); Reusability; Context awareness; World Wide Web; Psychology; Software; Social Semantic Web; Phone","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009462508,0.0006995001,0.0006178819,0.0009870582,0.000920778,0.003306212,0.001593045,0.001477595,0.002905988],"category_scores_gemma":[0.001153256,0.0004622589,0.0015136,0.0008785207,0.001169509,0.004918032,0.002639087,0.001277637,0.001061211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116368,"about_ca_system_score_gemma":0.002064189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097016,"about_ca_topic_score_gemma":0.008283505,"domain_scores_codex":[0.9991572,0.0001959614,0.0001357638,0.0001529714,0.0002644486,0.00009373455],"domain_scores_gemma":[0.999657,0.0000906371,0.00003234432,0.00008169643,0.00008862924,0.0000496334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003357313,0.0002470955,0.002862771,0.001019449,0.0001415987,0.001895868,0.00375503,0.08636083,0.01349504,0.7638904,0.02272913,0.103267],"study_design_scores_gemma":[0.00009187128,0.000115735,0.001176839,0.0003439197,0.0001607285,0.0008754489,0.0008295468,0.3710586,0.007555902,0.1602034,0.4574808,0.0001071435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01370428,0.0006238517,0.9569806,0.0005786837,0.0001799594,0.0004872994,0.002051648,0.006957469,0.01843613],"genre_scores_gemma":[0.3289279,0.002514745,0.6339537,0.0009415526,0.000138469,0.00170572,0.01012579,0.00137728,0.02031489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01097016,"threshold_uncertainty_score":0.02181262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597186916362702,"score_gpt":0.2446003682889282,"score_spread":0.2186284991253012,"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."}}