{"id":"W4288471702","doi":"10.4017/gt.2022.21.1.590.07","title":"An overview of Markov Chains for monitoring indoor movements and ambient motion detection","year":2022,"lang":"en","type":"article","venue":"Gerontechnology","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Hidden Markov model; Computer science; Motion (physics); Motion sensors; Artificial intelligence; Machine learning","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":[0.001963614,0.001522167,0.001038535,0.003059778,0.0004647067,0.002028204,0.001533507,0.001612514,0.003617254],"category_scores_gemma":[0.00536324,0.0009177191,0.001968202,0.003495121,0.0007294856,0.002108498,0.00106917,0.001925534,0.001602049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481939,"about_ca_system_score_gemma":0.001929498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752359,"about_ca_topic_score_gemma":0.01004447,"domain_scores_codex":[0.9977816,0.0007401857,0.0002191635,0.0005318865,0.0006345627,0.00009255088],"domain_scores_gemma":[0.9964541,0.002421926,0.0002366037,0.0002405301,0.000569599,0.00007724329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001536533,0.0001588545,0.009001378,0.002910538,0.0004241368,0.0004511791,0.0005340209,0.1908867,0.006181532,0.1052632,0.01625152,0.6677832],"study_design_scores_gemma":[0.00002941566,0.0002385029,0.004395709,0.001325337,0.0002442457,0.0008535924,0.0001584372,0.7947223,0.003956724,0.09077847,0.1031162,0.0001810856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001742107,0.03107026,0.9577927,0.0007481342,0.0002711095,0.0001522425,0.0007150428,0.0008911807,0.006617153],"genre_scores_gemma":[0.1616981,0.1151218,0.7058777,0.0008536164,0.001804222,0.00100222,0.003955534,0.0003763637,0.009310509],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01752359,"threshold_uncertainty_score":0.03484315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632937323954968,"score_gpt":0.3088752353800755,"score_spread":0.2455815029845787,"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."}}