{"id":"W2060443659","doi":"10.2196/mhealth.2536","title":"User Behavior Shift Detection in Ambient Assisted Living Environments","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eusko Jaurlaritza; Middlesex University; Washington State University","keywords":"Assisted living; Computer science; Activities of daily living; Ambient intelligence; Key (lock); Depression (economics); Human–computer interaction; Psychology; Medicine; Computer security; Gerontology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005002581,0.0001627268,0.0002446802,0.0002276046,0.0001958062,0.0001437489,0.0002145602,0.000110009,0.00003643352],"category_scores_gemma":[0.00002269476,0.0001626402,0.00003452677,0.0002898136,0.00002983246,0.0007850146,0.0001332431,0.0002688487,0.0001671551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672808,"about_ca_system_score_gemma":0.00009688856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246813,"about_ca_topic_score_gemma":0.0009820944,"domain_scores_codex":[0.9979714,0.0002860348,0.0004482462,0.0004982572,0.0002857406,0.0005103589],"domain_scores_gemma":[0.9988837,0.0001474427,0.0002092875,0.0003576218,0.0000195665,0.0003823884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000095044,0.0006152554,0.1242257,0.000240852,0.000005246203,0.000008870885,0.002425423,8.896698e-7,0.001031383,0.0001179183,0.0001787892,0.8711401],"study_design_scores_gemma":[0.0003412324,0.0001448305,0.996767,0.00006521232,0.000004331305,0.00002600605,0.00008381125,0.001103176,0.00009055977,0.0000455528,0.001180026,0.0001482764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792885,0.0001144098,0.01821502,0.0007645167,0.0003777157,0.001035664,0.00000247446,0.00009516208,0.0001065099],"genre_scores_gemma":[0.9980478,0.00004925645,0.0004406061,0.0006664681,0.00005760305,0.0005881216,0.000001918135,0.000012594,0.0001356774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8725412,"threshold_uncertainty_score":0.6632274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721506972740363,"score_gpt":0.3205489651985068,"score_spread":0.2733338954711031,"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."}}