{"id":"W2534359532","doi":"10.1016/j.jalz.2016.06.1598","title":"P2‐387: Daily Routine Monitoring in Older Adults through a Lightweight Sensor, Non‐Intrusive Infrastructure","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Activities of daily living; Shower; Gerontology; Bathing; Medicine; Psychology; Physical medicine and rehabilitation; Physical therapy; Engineering","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":[0.0007273233,0.0003273526,0.0002089247,0.0003880702,0.0002668501,0.0004453723,0.0005655074,0.0003624833,0.008361352],"category_scores_gemma":[0.003268557,0.0001355182,0.0002694057,0.0004872225,0.0001396067,0.0005504298,0.0007979799,0.0002574103,0.002189965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992038,"about_ca_system_score_gemma":0.0005419799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507368,"about_ca_topic_score_gemma":0.004447748,"domain_scores_codex":[0.9996767,0.0001078601,0.00002979834,0.00006276797,0.00009324197,0.00002966943],"domain_scores_gemma":[0.9991649,0.0002132885,0.0001450773,0.00006736731,0.0002772833,0.0001320625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001046603,0.0007167624,0.5590093,0.001022818,0.000124379,0.0004194667,0.002670075,0.0006268451,0.007069636,0.0005537336,0.016495,0.4102454],"study_design_scores_gemma":[0.0001121285,0.002392614,0.9639026,0.0002335147,0.0001151053,0.001071414,0.001931579,0.006148292,0.00335843,0.001131526,0.01955321,0.00004958272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671261,0.0003912607,0.01089153,0.0006816437,0.00006798704,0.0008279089,0.004248589,0.0003891163,0.01537578],"genre_scores_gemma":[0.9737971,0.0003645776,0.01949728,0.0001643368,0.00005346419,0.0008464494,0.001911671,0.00002482946,0.00334009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008361352,"threshold_uncertainty_score":0.02797145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506815735352966,"score_gpt":0.2495882842933476,"score_spread":0.2345201269398179,"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."}}