{"id":"W4285046070","doi":"10.1016/j.rvsc.2022.06.031","title":"PhysiCan - a device for automatic CPM exercises implementation over canines: Design and analysis","year":2022,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Dynamics (Canada); University of Saskatchewan","funders":"","keywords":"Rehabilitation; Computer science; Electromyography; Continuous passive motion; Continuous monitoring; Human–computer interaction; Physical medicine and rehabilitation; Simulation; Medicine; Physical therapy; Engineering","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":[0.001367401,0.00006351808,0.000108822,0.001191677,0.0004997813,0.00006199327,0.0001933031,0.000006010634,0.00004356755],"category_scores_gemma":[0.00002439019,0.00006609869,0.00002548569,0.005126571,0.0001355945,0.0002673409,0.0001171048,0.00009680253,1.610518e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862187,"about_ca_system_score_gemma":0.0000763941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326621,"about_ca_topic_score_gemma":0.00001267553,"domain_scores_codex":[0.9987941,0.00009035617,0.0001157997,0.0002050581,0.0004286853,0.0003659614],"domain_scores_gemma":[0.9995316,0.0002370192,0.00001464623,0.000121938,0.00004415761,0.00005059878],"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":[0.0001258968,0.0001857079,0.01089217,0.0005194881,0.0002986164,0.00002847747,0.008218382,0.05246203,0.4906353,0.001044448,0.001815447,0.4337741],"study_design_scores_gemma":[0.0003612305,0.0008972026,0.4476313,0.00001056825,0.00002019574,0.000004250385,0.002814643,0.5453335,0.001127818,0.0003709712,0.001254109,0.0001742035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970026,0.000100406,0.002260509,0.00007087762,0.00002780639,0.0004043696,0.000009304244,0.00004330557,0.00008081715],"genre_scores_gemma":[0.997711,0.00004324351,0.001691862,0.00001384771,0.000008045702,0.0005142288,0.000004266541,0.000006134776,0.000007358253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4928715,"threshold_uncertainty_score":0.3843964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126212852303576,"score_gpt":0.4202825445489961,"score_spread":0.2940696922454201,"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."}}