{"id":"W4381327913","doi":"10.1523/jneurosci.0213-23.2023","title":"From Motivation to Action: Action Cost Better Predicts Changes in Premovement Beta-Band Activity than Speed","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"BETA (programming language); Action (physics); Computer science; Task (project management); Neuroscience; Psychology; Electroencephalography; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001014332,0.0004825302,0.0003395055,0.0004488753,0.0001013498,0.0007476392,0.0001616284,0.000543954,0.002636743],"category_scores_gemma":[0.006639401,0.0002522136,0.0003976179,0.0002073743,0.000242186,0.000426602,0.0004115724,0.0004062593,0.0002695144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236476,"about_ca_system_score_gemma":0.0001187539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008085585,"about_ca_topic_score_gemma":0.0008586482,"domain_scores_codex":[0.9997111,0.00007183364,0.00004016373,0.00008642326,0.00006022193,0.00003024538],"domain_scores_gemma":[0.9962912,0.001779957,0.001262251,0.000256997,0.0001295624,0.0002800511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002518986,0.0002371802,0.9496603,0.000124902,0.000424022,0.0001133965,0.0001752711,0.003153602,0.02833384,0.0001999034,0.0001266865,0.01493185],"study_design_scores_gemma":[0.00001265609,0.0002725134,0.994671,0.000006035196,0.00003392858,0.00009012467,0.00002631697,0.003893408,0.0006655633,0.0002436092,0.00007705097,0.000007716645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988289,0.00006432676,0.0006374377,0.00001858534,0.000003462118,0.000006963641,0.00008005863,0.000007482476,0.000352632],"genre_scores_gemma":[0.9991801,0.00003622719,0.0004251499,0.00001110796,0.000005588593,0.000009385384,0.0001572778,0.00000480571,0.0001701514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002636743,"threshold_uncertainty_score":0.008820772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426898544299985,"score_gpt":0.337062500774172,"score_spread":0.1943726463441735,"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."}}