{"id":"W6969203973","doi":"10.5683/sp3/khdjwu","title":"Replication data for the study: \"A novel approach to the assessment of motor-unit identification accuracy and its radical incongruence with conventional methodology\" in the Journal of Neurophysiology","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Replication (statistics); Identification (biology); Neurophysiology; Clinical neurophysiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002173022,0.0001158981,0.0002411323,0.00002003583,0.0001594598,0.00004779047,0.002047688,0.00007532484,0.00000305382],"category_scores_gemma":[0.0008045413,0.00002740358,0.00003863761,0.0002050085,0.00008839661,0.00008311363,0.0002454243,0.0002212413,5.180348e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001306244,"about_ca_system_score_gemma":0.00005552308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006463418,"about_ca_topic_score_gemma":0.004713391,"domain_scores_codex":[0.9985708,0.0004669763,0.0004428181,0.000270172,0.0001434608,0.0001057841],"domain_scores_gemma":[0.9960761,0.002704167,0.0006021647,0.0004231865,0.0001691796,0.0000252221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001393213,0.0003902577,0.0001020722,0.00003718248,0.0001121149,2.694289e-7,0.0001055249,0.00009289074,0.002843313,0.001976203,0.9915167,0.002684145],"study_design_scores_gemma":[0.0002317373,0.0004606666,0.3949888,0.00001770011,0.0001705429,0.00002287063,0.0007464072,0.0005869109,0.000007752154,0.0001006514,0.6025783,0.00008771294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02511466,0.00006131735,0.0001309221,0.006516745,0.0000552364,0.001562404,0.9665464,0.000001594721,0.00001071353],"genre_scores_gemma":[0.04867005,0.0003851482,0.0002779197,0.000656793,0.0003274956,0.000169433,0.9494979,7.483699e-7,0.00001447857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3948867,"threshold_uncertainty_score":0.9770798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1859723685828087,"score_gpt":0.3847996771094771,"score_spread":0.1988273085266684,"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."}}