{"id":"W2912601422","doi":"10.33137/cpoj.v1i2.32020","title":"PERFORMANCE, PATIENT BENEFITS AND ACCEPTANCE OF A NEW GENERATION OF MICROPROCESSOR-CONTROLLED STANCE AND SWING CONTROL ORTHOSIS","year":2018,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brace; Swing; Physical medicine and rehabilitation; Gait; Medicine; Orthotics; Physical therapy; Mallet; Ankle; Knee flexion; Computer science; Engineering; Surgery; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002514868,0.0001771299,0.0003740467,0.0002354142,0.0001616566,0.00005967486,0.00009587783,0.0001054594,0.00001402012],"category_scores_gemma":[0.00007202464,0.0001634599,0.00005454007,0.0001725012,0.0001783516,0.0001181201,0.0000120186,0.0001839425,6.508483e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006355142,"about_ca_system_score_gemma":0.0002856955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007032387,"about_ca_topic_score_gemma":0.002042868,"domain_scores_codex":[0.9987386,0.00002239812,0.0006023716,0.0001405677,0.0001934389,0.0003026387],"domain_scores_gemma":[0.9987031,0.00003177612,0.000209934,0.0001523661,0.0005098736,0.0003929097],"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":[0.0004869254,0.0001400858,0.258139,0.001040787,0.0006468846,0.0000216067,0.01896151,0.1501276,0.05344453,0.004434675,0.0009216256,0.5116348],"study_design_scores_gemma":[0.01836731,0.003980574,0.06969542,0.001554583,0.0006784684,0.0007062754,0.0009622434,0.8432292,0.05201692,0.001132138,0.005901872,0.00177497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930589,0.004176241,0.001800628,0.0001467122,0.0002947437,0.0003234539,0.00003766513,0.0000102975,0.0001513528],"genre_scores_gemma":[0.991743,0.001483047,0.006548122,0.00006815673,0.00009936016,0.000003460009,0.00000200521,0.00003168625,0.0000211428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6931016,"threshold_uncertainty_score":0.6665702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035300719654225,"score_gpt":0.1932811773347513,"score_spread":0.1829281701382091,"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."}}