{"id":"W7000059835","doi":"","title":"Elderly fall detection","year":2022,"lang":"en","type":"other","venue":"DR-NTU (Nanyang Technological University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Quarter (Canadian coin); Population; Elderly people; Isolation (microbiology); Population ageing; Directory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002105542,0.0006694937,0.000672387,0.004613589,0.000369304,0.00004460973,0.001995516,0.001860582,0.01458682],"category_scores_gemma":[0.0001733689,0.0007119848,0.0003659606,0.004517111,0.000693267,0.0001128256,0.00135615,0.001843934,0.005815906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224743,"about_ca_system_score_gemma":0.00006642986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002740169,"about_ca_topic_score_gemma":0.000808157,"domain_scores_codex":[0.9968928,0.0002362209,0.000222236,0.001256623,0.0006054834,0.0007866081],"domain_scores_gemma":[0.9980568,0.00006454358,0.0004287884,0.001240211,0.00004709214,0.0001626158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001916788,0.0006685621,0.0004635348,0.00008628299,0.0005105085,0.003445781,0.00002369955,0.000009887985,0.00406434,0.1121619,0.8267897,0.05158412],"study_design_scores_gemma":[0.0007138288,0.0003974311,0.00005313981,0.00004671721,0.0001579225,0.00003437096,0.0003600212,0.00001385751,0.0002206776,0.0007576427,0.9963971,0.000847278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001341652,0.0003254611,0.0009836425,0.0001973724,0.0003574021,0.0007849669,0.0002958907,0.01527944,0.9804342],"genre_scores_gemma":[0.01431098,0.0001998279,0.0006492357,0.000045407,0.00009813155,0.00001058369,0.0001442619,0.0008771069,0.9836645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1696074,"threshold_uncertainty_score":0.9995331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225673438100489,"score_gpt":0.1872377227845006,"score_spread":0.1749809884034957,"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."}}