{"id":"W2154719250","doi":"10.1002/mus.10351","title":"Statistical motor unit number estimation: From theory to practice","year":2003,"lang":"en","type":"review","venue":"Muscle & Nerve","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Motor unit; Unit (ring theory); Statistics; Medicine; Computer science; Mathematics; Psychology; Neuroscience","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":[0.0134055,0.001508546,0.003614481,0.004932536,0.0004060521,0.003161358,0.004547691,0.002674225,0.002502367],"category_scores_gemma":[0.03604637,0.0009707175,0.0008163666,0.004606938,0.004808071,0.003995491,0.002034127,0.003979912,0.002778677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382422,"about_ca_system_score_gemma":0.00198093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854429,"about_ca_topic_score_gemma":0.001076092,"domain_scores_codex":[0.9931893,0.003090437,0.000493761,0.0007380076,0.002398414,0.00009014744],"domain_scores_gemma":[0.9734361,0.02205466,0.0009288214,0.001045421,0.002309277,0.0002257966],"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":[0.00006376771,0.0000510928,0.001323475,0.005138433,0.0001626872,0.000222623,0.0002343056,0.007780742,0.0007314923,0.05096281,0.01695602,0.9163725],"study_design_scores_gemma":[0.00006112568,0.0003694167,0.005103413,0.009282256,0.0002102834,0.002394499,0.0004938822,0.03789577,0.003483747,0.4521544,0.4881798,0.0003713941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009648676,0.7207093,0.2658861,0.005368533,0.001022173,0.000107003,0.000156072,0.0003334086,0.005452615],"genre_scores_gemma":[0.0245597,0.7790462,0.1881317,0.002054004,0.002780971,0.0005054134,0.0002974768,0.0001655706,0.002459048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0134055,"threshold_uncertainty_score":0.07089591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08555402099844331,"score_gpt":0.4265198167769366,"score_spread":0.3409657957784933,"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."}}