{"id":"W2012455683","doi":"10.1016/s1388-2457(00)00318-7","title":"Use of the collision technique to improve the accuracy of motor unit number estimation","year":2000,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Peripheral Neuropathies and Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Motor unit; Axon; Medicine; Motor unit recruitment; Physical medicine and rehabilitation; Electromyography; Anatomy","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":[0.002141529,0.0006008493,0.000824677,0.001317381,0.0008477318,0.0008893044,0.0009328235,0.001199203,0.003212562],"category_scores_gemma":[0.01636813,0.0005290033,0.0003682781,0.001484091,0.0004528202,0.001427099,0.001312081,0.0009395723,0.0007772627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547229,"about_ca_system_score_gemma":0.001152009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002556038,"about_ca_topic_score_gemma":0.004575441,"domain_scores_codex":[0.9989305,0.0002752428,0.00007394535,0.0001928534,0.0004347334,0.00009269377],"domain_scores_gemma":[0.9893405,0.006636399,0.0005675945,0.001246008,0.002006292,0.0002032571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002311098,0.0001996116,0.02419912,0.000486099,0.0002481202,0.0006525468,0.0007374332,0.006588108,0.3681538,0.004596057,0.00284123,0.5889868],"study_design_scores_gemma":[0.000420841,0.002839817,0.08678984,0.0001362422,0.000574663,0.01758542,0.000418511,0.3865837,0.4812883,0.004622658,0.01838284,0.00035712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1334222,0.001146176,0.8614345,0.0002610039,0.0002937432,0.00008832935,0.0001152625,0.001806578,0.001432177],"genre_scores_gemma":[0.4110784,0.0004080388,0.5865896,0.0002223571,0.0001083945,0.00007764158,0.000116701,0.0002655316,0.00113333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003212562,"threshold_uncertainty_score":0.01132566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079580454339984,"score_gpt":0.3640278530345166,"score_spread":0.3132320484911168,"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."}}