{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001426149,0.0006422776,0.0006483918,0.0008957296,0.00029071,0.0005154787,0.001299975,0.0007676284,0.008129653],"category_scores_gemma":[0.001062787,0.0004357944,0.0005126401,0.0002911773,0.0004090397,0.0003599594,0.0006212856,0.0003116796,0.001017174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102557,"about_ca_system_score_gemma":0.0008000162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003606409,"about_ca_topic_score_gemma":0.0005247056,"domain_scores_codex":[0.9991653,0.0001947986,0.00008837578,0.0001990219,0.0002883027,0.00006427183],"domain_scores_gemma":[0.999166,0.0003010899,0.00008018025,0.00009996233,0.0002925957,0.00006011664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005928273,0.002145453,0.0118217,0.003854433,0.0003033039,0.0004497435,0.0008012903,0.01660178,0.6412218,0.003468123,0.003019941,0.3103841],"study_design_scores_gemma":[0.00264015,0.08726431,0.1243367,0.0005523987,0.002003776,0.002877131,0.001078352,0.2008458,0.4917667,0.002152649,0.08410519,0.0003768469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5735661,0.000735837,0.4123559,0.0002667504,0.0003551281,0.003950409,0.001291235,0.001658866,0.005819737],"genre_scores_gemma":[0.8659081,0.0003524214,0.1189995,0.000153489,0.00004671076,0.003183616,0.0006691509,0.0001524798,0.01053447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008129653,"threshold_uncertainty_score":0.02719641,"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."}}