{"id":"W4386991040","doi":"10.1007/978-3-031-37337-4","title":"Supportive Smart Homes","year":2023,"lang":"en","type":"book","venue":"Synthesis lectures on technology and health","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa; Bruyère","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Mitacs; Simon Fraser University; AGE-WELL; University of Ottawa","keywords":"Home automation; Architectural engineering; Psychology; Computer science; Internet privacy; Business; Engineering; Telecommunications","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":[0.0002521247,0.000772515,0.000341565,0.0005207716,0.0009556804,0.001845133,0.0005788046,0.0009273721,0.2779518],"category_scores_gemma":[0.0004905791,0.0002698172,0.0002419425,0.0005337773,0.0002602686,0.001781131,0.002095079,0.001062772,0.1494852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003131098,"about_ca_system_score_gemma":0.0004728326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006103448,"about_ca_topic_score_gemma":0.003160508,"domain_scores_codex":[0.9998418,0.00001812973,0.000004986371,0.00003014784,0.00008071552,0.00002423076],"domain_scores_gemma":[0.9998162,0.00002406801,0.000009029583,0.00002344798,0.00005290249,0.00007429102],"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":[0.00003222009,0.00005860983,0.00009809619,0.0001382841,0.000002455577,0.0001037756,0.000302192,0.0001018816,0.001310866,0.01011574,0.651532,0.3362039],"study_design_scores_gemma":[0.00000280525,0.00001714178,0.0002131404,0.00006078789,0.000001424985,0.0001548915,0.0001241292,0.00007214666,0.0002098207,0.001525677,0.9976153,0.000002725798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001400465,0.006688291,0.0101272,0.001928315,0.002633645,0.00006246825,0.0003148462,0.0017122,0.9751325],"genre_scores_gemma":[0.004307202,0.002491464,0.002244011,0.0004906968,0.0002945291,0.00003046702,0.0001985239,0.0001227149,0.9898204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2779518,"threshold_uncertainty_score":0.9298415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463547134098395,"score_gpt":0.2914116859000235,"score_spread":0.2567762145590395,"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."}}