{"id":"W4408734875","doi":"10.1007/978-981-96-2468-3_77","title":"Hybrid Classification Model Development for Enhancement the Data Driven Based Human Falling Detection Performance","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Falling (accident); Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004166385,0.000358155,0.0003434659,0.0003807657,0.0001943215,0.0001327689,0.001241458,0.0002119858,0.000002295309],"category_scores_gemma":[0.0001780793,0.0003239185,0.00007772418,0.0001767134,0.00001294827,0.0002223858,0.0002068939,0.0006959017,0.000004434353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223441,"about_ca_system_score_gemma":0.0002691563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004033563,"about_ca_topic_score_gemma":0.00004640195,"domain_scores_codex":[0.99797,0.00001579782,0.0005166503,0.0007749231,0.0003576583,0.0003649874],"domain_scores_gemma":[0.9980857,0.0006417059,0.0001840958,0.0009188453,0.0001233341,0.00004634964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009775413,0.00002227845,0.000002286525,0.0001522838,0.00005052445,0.00000112818,0.00005517289,0.1664414,0.006738754,0.001183285,0.00001852327,0.8253246],"study_design_scores_gemma":[0.0002167321,0.00004164979,0.00001766398,0.0002721248,0.00001854714,0.000002804697,8.285695e-8,0.9693142,0.02365245,0.0004915352,0.00563625,0.0003359316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002559855,0.0002063645,0.9974477,0.000164488,0.0002316273,0.0008907651,0.000007370532,0.000173366,0.0006223096],"genre_scores_gemma":[0.9642277,0.00002060758,0.0343358,0.0001365175,0.0001357018,0.0002671504,0.0001351926,0.00003993787,0.0007014346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9639717,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691009669785159,"score_gpt":0.2540489244006531,"score_spread":0.2071388277028015,"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."}}