{"id":"W4400514449","doi":"10.1038/s41598-024-66221-8","title":"Combined MediaPipe and YOLOv5 range of motion assessment system for spinal diseases and frozen shoulder","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Upload; Range of motion; Generalization; Block (permutation group theory); Range (aeronautics); Motion (physics); Rehabilitation; Artificial intelligence; Data mining; Medicine; Physical therapy","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":[0.0006207507,0.00007853917,0.000130292,0.0001707918,0.0001613396,0.0005310579,0.00006941628,0.00003216565,0.000008565355],"category_scores_gemma":[0.0000236391,0.00006571104,0.00004615054,0.000186813,0.00009635413,0.0004313368,0.00006183827,0.00004023256,0.000001618973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002592932,"about_ca_system_score_gemma":0.0000646918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004379003,"about_ca_topic_score_gemma":0.00000152767,"domain_scores_codex":[0.9988173,0.00002819873,0.0002772194,0.0004876718,0.000270746,0.0001189033],"domain_scores_gemma":[0.9993976,0.00003937429,0.0001068227,0.0002649823,0.0001088792,0.00008236898],"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":[0.00010488,0.0007865906,0.04657904,0.01075314,0.0003938157,0.001532226,0.003754797,0.00005327144,0.05270359,0.07579374,0.05458761,0.7529573],"study_design_scores_gemma":[0.003226806,0.001699837,0.2843885,0.004389537,0.0008169426,0.002118726,0.001505991,0.3845787,0.05429158,0.2239541,0.03710315,0.001926227],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6858467,0.001088939,0.2971683,0.0004779127,0.01398121,0.000717503,0.00001751583,0.0002527995,0.000449115],"genre_scores_gemma":[0.9981882,0.000005824973,0.001382517,0.000008452592,0.00007198736,0.00003837062,0.00001920418,0.000005000688,0.0002804186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7510311,"threshold_uncertainty_score":0.5121003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335966966081328,"score_gpt":0.2954016997676559,"score_spread":0.2720420301068426,"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."}}