{"id":"W4226021167","doi":"","title":"Human Fall Detection Using Passive Infrared Sensors with Low Resolution: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Medicine; Artificial intelligence; Digital library; Machine learning; Information retrieval; Data science; Medical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00731773,0.001516211,0.008452278,0.005645422,0.0005146192,0.002585974,0.002323096,0.00189634,0.00442846],"category_scores_gemma":[0.03854981,0.001158413,0.009053257,0.006047213,0.000944926,0.002159326,0.001611335,0.001345026,0.0003904068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840125,"about_ca_system_score_gemma":0.006382999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012747,"about_ca_topic_score_gemma":0.02730383,"domain_scores_codex":[0.9930856,0.00202846,0.002892535,0.0006725246,0.001176362,0.0001445128],"domain_scores_gemma":[0.9756362,0.01889717,0.003409625,0.0004482279,0.001435057,0.0001737224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000455558,0.00003185333,0.001188933,0.9281309,0.02189464,0.00005407969,0.0001935066,0.00008154187,0.0001021581,0.0001513656,0.001007437,0.04670813],"study_design_scores_gemma":[0.001002358,0.0004250224,0.008650548,0.7742966,0.1985894,0.000378924,0.000421166,0.0001974106,0.0002411238,0.0003927028,0.01530987,0.00009480881],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001101537,0.9977702,0.0002454194,0.0001102898,0.00008194137,0.0002283576,0.0002983872,0.000008619055,0.0001551983],"genre_scores_gemma":[0.02168853,0.9750865,0.001489239,0.0006623972,0.00007818572,0.0005277267,0.0003176761,0.00001120352,0.0001385586],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01012747,"threshold_uncertainty_score":0.03870034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3620684438359302,"score_gpt":0.5407743718181601,"score_spread":0.1787059279822299,"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."}}