{"id":"W2969976212","doi":"10.1002/mus.26675","title":"Average proportional consecutive interval difference accurately differentiates spontaneous activity from motor unit potentials","year":2019,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Motor unit; Confidence interval; Electromyography; Interval (graph theory); Medicine; Mean difference; Significant difference; Audiology; Statistics; Physical medicine and rehabilitation; Internal medicine; Mathematics; 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":[0.001946483,0.0003879144,0.0003681907,0.001150879,0.00008948005,0.0004998473,0.0003457565,0.0003932476,0.002000035],"category_scores_gemma":[0.008217897,0.0001345417,0.0002102248,0.0005132141,0.0002156488,0.0007121697,0.0003363842,0.0002032209,0.0005059273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010613,"about_ca_system_score_gemma":0.0001159732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002691397,"about_ca_topic_score_gemma":0.0004224199,"domain_scores_codex":[0.9990448,0.0002854412,0.0001617433,0.0002194243,0.0002515177,0.00003702346],"domain_scores_gemma":[0.9946811,0.003191815,0.001076945,0.0002460453,0.0006452703,0.0001588713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001702355,0.0001881745,0.7039902,0.0005042211,0.0002125722,0.0003611421,0.0002378548,0.0007766438,0.06200903,0.00023741,0.0004145202,0.2293659],"study_design_scores_gemma":[0.00005276161,0.00120514,0.9667344,0.0001124162,0.0001133843,0.006234537,0.0001778245,0.009099951,0.01460866,0.0005799769,0.001049989,0.00003086475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590716,0.002275172,0.03475982,0.00006011522,0.00005402638,0.00007910305,0.0005332358,0.0002665716,0.002900343],"genre_scores_gemma":[0.985496,0.0003036951,0.01354685,0.00002983227,0.00002930591,0.000032211,0.000263675,0.00001916617,0.000279384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000035,"threshold_uncertainty_score":0.01029408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147116385387552,"score_gpt":0.2303802113482713,"score_spread":0.2089090474943958,"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."}}