{"id":"W7011577615","doi":"","title":"Monitoring of human movements for fall detection and activities recognition in elderly care using wWireless sensor network: a survey","year":2010,"lang":"en","type":"other","venue":"IMT Institutional Repository (IMT School for Advanced Studies Lucca)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Elderly care; Elderly people; Data collection; Remote patient monitoring; Activity recognition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004662857,0.0007852662,0.00119466,0.0006699355,0.001340848,0.00007572427,0.0002146388,0.0005857641,0.000002518191],"category_scores_gemma":[0.0007486264,0.0008819402,0.0002439236,0.0003451393,0.0005678826,0.0005428048,0.000148225,0.0006313293,0.000002398202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489776,"about_ca_system_score_gemma":0.0003200226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009932594,"about_ca_topic_score_gemma":0.0119465,"domain_scores_codex":[0.9964291,0.0001959019,0.0009812271,0.00105094,0.0006050792,0.000737732],"domain_scores_gemma":[0.9967588,0.0003819538,0.001251935,0.000408079,0.001045207,0.0001540566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005348113,0.0006287696,0.1346493,0.007768015,0.004083481,0.00006209683,0.001329677,0.01466953,0.8013062,0.0001281568,0.00101738,0.02900919],"study_design_scores_gemma":[0.06968252,0.009527149,0.2220464,0.07196998,0.004211644,0.0005245552,0.05068003,0.00217398,0.4360719,0.0053989,0.1096689,0.01804395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974302,0.00881752,0.001619747,0.000002116549,0.005424856,0.004583424,0.002026747,0.0002677067,0.002955909],"genre_scores_gemma":[0.9646291,0.0006779675,0.01556863,0.000008318966,0.003227139,0.002859939,0.0005413025,0.0009065526,0.01158102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3652343,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06303533535963252,"score_gpt":0.3496739023126175,"score_spread":0.286638566952985,"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."}}