{"id":"W2117382973","doi":"10.1109/iembs.2006.259663","title":"Conduction Velocity Distribution Estimation using the Collision Technique for Assessing Carpal Tunnel Syndrome","year":2006,"lang":"en","type":"article","venue":"","topic":"Peripheral Nerve Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Carpal tunnel syndrome; Nerve conduction velocity; Nerve conduction; Thermal conduction; Materials science; Current (fluid); Distribution (mathematics); Collision; Carpal tunnel; Estimator; Biomedical engineering; Moment (physics); Computer science; Medicine; Composite material; Anatomy; Mathematics; Surgery; Physics; Engineering; Electrical engineering; Statistics","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":[0.00172405,0.0004118809,0.0005033425,0.002216266,0.0002399807,0.0004484175,0.0003313358,0.0005672768,0.0005688128],"category_scores_gemma":[0.005051213,0.00022291,0.0001793943,0.0006727329,0.0002827882,0.0007057095,0.0004315809,0.0003922683,0.0001503551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092427,"about_ca_system_score_gemma":0.0003463781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212202,"about_ca_topic_score_gemma":0.001153107,"domain_scores_codex":[0.9991025,0.0003969176,0.00007603074,0.0001167519,0.0002524023,0.00005550478],"domain_scores_gemma":[0.9973816,0.001661722,0.0002966339,0.0001410649,0.0003783401,0.0001406044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002874343,0.0002079886,0.3167762,0.0003901144,0.000141797,0.0009609275,0.0004028686,0.005031525,0.2455184,0.001152714,0.0006110278,0.4259321],"study_design_scores_gemma":[0.0004391997,0.006376228,0.6619123,0.0001435106,0.0005276075,0.03298918,0.000632333,0.1792204,0.1098752,0.001288439,0.006283301,0.0003123123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7251714,0.004375652,0.2674908,0.0001221572,0.00009332444,0.0001391024,0.0001327827,0.000501729,0.001972903],"genre_scores_gemma":[0.9141141,0.0007669769,0.08457707,0.00003290706,0.00004355214,0.00004955818,0.00004781187,0.00002259679,0.0003455397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002216266,"threshold_uncertainty_score":0.009117782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271979728276936,"score_gpt":0.3288025391704404,"score_spread":0.2960827418876711,"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."}}