{"id":"W4396734518","doi":"10.7554/elife.96854.1.sa2","title":"eLife Assessment: Task dependent coarticulation of movement sequences","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Movement (music); Coarticulation; Task (project management); Computer science; Artificial intelligence; Speech recognition; Engineering; Physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00164925,0.0004144654,0.0003910547,0.001195944,0.0002649765,0.0008791914,0.0006011297,0.0007839563,0.008221015],"category_scores_gemma":[0.01135987,0.000177703,0.000186945,0.0004875705,0.0004776571,0.0007357824,0.001055097,0.0006930151,0.002708995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028771,"about_ca_system_score_gemma":0.0007352845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573919,"about_ca_topic_score_gemma":0.003784873,"domain_scores_codex":[0.998875,0.000158532,0.0001047786,0.0002056036,0.0005626154,0.00009342156],"domain_scores_gemma":[0.9971739,0.0008347231,0.0004479037,0.0002228488,0.001045473,0.00027515],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001512103,0.000246935,0.02787245,0.0005960364,0.0001286419,0.00223416,0.0006468106,0.003230446,0.2501393,0.0018388,0.009662515,0.7018918],"study_design_scores_gemma":[0.0003242238,0.002699291,0.274705,0.0004630171,0.000324902,0.01610405,0.001420335,0.1143213,0.4826296,0.0147195,0.09197066,0.0003182385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6093364,0.00170983,0.3494242,0.001678295,0.0005176647,0.0008690961,0.002164591,0.004879928,0.02942009],"genre_scores_gemma":[0.8905374,0.0006288358,0.08593307,0.0003465706,0.00008402123,0.0002884988,0.001344307,0.0005205045,0.02031676],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9983507,"threshold_uncertainty_score":0.027502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05524507140786129,"score_gpt":0.3615913141161279,"score_spread":0.3063462427082667,"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."}}