{"id":"W4386919580","doi":"10.1109/sas58821.2023.10254104","title":"Automated Stride Detection from OpenPose Keypoints Using Handheld Smartphone Video","year":2023,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Computer science; Mobile device; STRIDE; Computer graphics (images); Computer vision; Artificial intelligence; World Wide Web; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.000167956,0.0001152626,0.0001208481,0.0001723679,0.0002801225,0.0001992852,0.0004312569,0.00008074502,0.00007698656],"category_scores_gemma":[0.00002150898,0.0001102584,0.00005984902,0.001296867,0.00002248426,0.0004163743,0.0002709151,0.00009766825,0.0006105437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006124702,"about_ca_system_score_gemma":0.00003411665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323548,"about_ca_topic_score_gemma":0.00009570859,"domain_scores_codex":[0.9989577,0.00003404084,0.0002305498,0.0003897824,0.0001690413,0.000218921],"domain_scores_gemma":[0.9991916,0.00006342464,0.0000775139,0.0005213136,0.00006233623,0.00008378527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001559713,0.00009984486,0.0003727023,0.000009310404,0.00005657553,0.0000231292,0.0002692387,0.001147524,0.7986613,0.00334105,0.01090236,0.1851014],"study_design_scores_gemma":[0.0001391976,0.00002533243,0.003173395,0.000007703887,0.000004215773,0.000006529659,0.00001822682,0.6409596,0.3510253,0.002297796,0.002215293,0.0001274802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2658536,0.000006577392,0.7274219,0.0002335246,0.0001622061,0.0001707863,0.00000494427,0.005551642,0.0005948077],"genre_scores_gemma":[0.9462216,0.00001314577,0.0527213,0.0001888621,0.00005972239,0.00004934635,0.000007135571,0.00001271538,0.0007261044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6803681,"threshold_uncertainty_score":0.7847508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294311808443529,"score_gpt":0.2849391987158764,"score_spread":0.2555080178715234,"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."}}