{"id":"W2092104053","doi":"10.1115/1.4028820","title":"Development and Performance Evaluation of a Multi-PID Muscle Loading Driven In Vitro Active-Motion Shoulder Simulator and Application to Assessing Reverse Total Shoulder Arthroplasty","year":2014,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hand and Upper Limb Clinic; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Kinematics; Control theory (sociology); Simulation; Setpoint; Standard deviation; Biomedical engineering; Range of motion; Mathematics; Computer science; Engineering; Surgery; Physics; Medicine; Control engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006965932,0.0001166749,0.0002667863,0.0002588941,0.00003133762,0.00001317791,0.00002365489,0.00008089079,0.000003894309],"category_scores_gemma":[0.0001418055,0.0001012028,0.00003331457,0.0001749215,0.00001045392,0.0001989174,0.00002960861,0.0001527498,4.076449e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885906,"about_ca_system_score_gemma":0.00004633801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617882,"about_ca_topic_score_gemma":8.282751e-7,"domain_scores_codex":[0.9989737,0.00002776387,0.0003909564,0.0001490271,0.000327149,0.0001314543],"domain_scores_gemma":[0.9994666,0.00005387073,0.0001369601,0.00007906985,0.0001326882,0.0001307874],"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":[0.0001168856,0.0001245837,0.0004356527,0.00007011128,0.00004131731,0.000001991435,0.000289842,0.01363835,0.6654844,0.000006456747,3.827357e-7,0.3197901],"study_design_scores_gemma":[0.002001282,0.0001808844,0.04831377,0.0002131914,0.0001184404,0.00005270179,0.0001025148,0.6375844,0.3112787,0.000002368748,0.0000643375,0.00008740879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488458,0.00004223914,0.1507275,0.00007212769,0.00007460435,0.000226496,6.75563e-7,0.00000762459,0.000002842514],"genre_scores_gemma":[0.9754714,0.000008353853,0.02442026,0.00002004042,0.00005277701,0.00001028369,0.000002459798,0.00001288743,0.000001543626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239461,"threshold_uncertainty_score":0.4126932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801358773084535,"score_gpt":0.3143294717970987,"score_spread":0.2863158840662534,"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."}}