{"id":"W4402555730","doi":"10.7554/elife.88670.2.sa3","title":"eLife Assessment: I-Spin live: An open-source software based on blind-source separation for real-time decoding of motor unit activity in humans","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Open source; Open source software; Blind signal separation; Decoding methods; Source separation; Software; Unit (ring theory); Computer science; Speech recognition; Mathematics; Operating system; Algorithm; Telecommunications","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":[0.002030423,0.001751613,0.00111692,0.001188384,0.0005504338,0.001480211,0.002972512,0.001954884,0.05563875],"category_scores_gemma":[0.008222664,0.0009474177,0.00133726,0.0005432744,0.0009255987,0.001322492,0.003075253,0.002229488,0.02251374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004897336,"about_ca_system_score_gemma":0.001640038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644632,"about_ca_topic_score_gemma":0.003000892,"domain_scores_codex":[0.9990847,0.0001105084,0.0000959984,0.000261338,0.0003710963,0.00007634902],"domain_scores_gemma":[0.9979823,0.0009788367,0.0001966893,0.0002657998,0.0004309838,0.0001454425],"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":[0.002954001,0.0002761403,0.003149192,0.002515477,0.0007071026,0.00126462,0.001007125,0.01583488,0.1092698,0.007632552,0.2568011,0.5985879],"study_design_scores_gemma":[0.001411773,0.0009495564,0.01202038,0.0006503019,0.0004052464,0.001980782,0.0002816547,0.3400536,0.2029554,0.02764677,0.410828,0.0008166093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.005089371,0.0003500925,0.6528168,0.0002127921,0.0002582873,0.0002668884,0.00404994,0.3329185,0.004037426],"genre_scores_gemma":[0.0685851,0.0006118087,0.7866513,0.0008214614,0.0001598521,0.002579037,0.0117647,0.109701,0.0191258],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05563875,"threshold_uncertainty_score":0.1861302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938949337689362,"score_gpt":0.3689701840957333,"score_spread":0.3195806907188397,"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."}}