{"id":"W3019075546","doi":"10.3390/s20082359","title":"Spatio-Temporal Abnormal Behavior Prediction in Elderly Persons Using Deep Learning Models","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Autoencoder; Hyperparameter; Artificial intelligence; Deep learning; Computer science; Machine learning; Convolutional neural network; Activities of daily living; Independence (probability theory); Psychology","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":[0.0004629357,0.0007268459,0.0003976723,0.000777416,0.0001177847,0.0003174843,0.000416149,0.000462321,0.0005896386],"category_scores_gemma":[0.001237264,0.0001815957,0.0004808309,0.0004165378,0.0001292066,0.000386894,0.0003566133,0.0005140069,0.0002672473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482249,"about_ca_system_score_gemma":0.0003695045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548734,"about_ca_topic_score_gemma":0.02234647,"domain_scores_codex":[0.9998401,0.00002817286,0.00001652672,0.0000561463,0.00002745221,0.00003149997],"domain_scores_gemma":[0.9996393,0.0001356066,0.00007302545,0.00003173487,0.00008519249,0.00003509257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007027296,0.0007957087,0.1835564,0.0001396264,0.0002909119,0.0005629922,0.0001708645,0.5933992,0.005743285,0.0007006412,0.003605943,0.2103317],"study_design_scores_gemma":[0.000003044589,0.00003303211,0.007929078,0.000007605597,0.00001230664,0.00002898908,0.00001810856,0.9910367,0.0005085161,0.0003165255,0.0001028883,0.000003272915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879206,0.0008827765,0.11522,0.0004240737,0.00006767605,0.0000517133,0.001987823,0.000837651,0.001322271],"genre_scores_gemma":[0.9894409,0.0001805515,0.008774418,0.00004196725,0.00001557493,0.00002068461,0.0008601925,0.000007460414,0.0006583799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548734,"threshold_uncertainty_score":0.03079438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250050099421257,"score_gpt":0.2608082231337274,"score_spread":0.1883077221395148,"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."}}