{"id":"W4360816953","doi":"10.1007/s00426-023-01812-0","title":"A theoretical perspective on action consequences in action imagery: internal prediction as an essential mechanism to detect errors","year":2023,"lang":"en","type":"review","venue":"Psychological Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Austrian Science Fund","keywords":"Action (physics); Perspective (graphical); Motor imagery; Computer science; Cognitive psychology; Cognitive science; Psychology; Artificial intelligence; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002621221,0.0003481332,0.000689875,0.00121124,0.0002597561,0.000251336,0.0006665417,0.0005032141,0.0006235234],"category_scores_gemma":[0.008180559,0.0002523096,0.0002510594,0.001582617,0.0006128341,0.0002243795,0.0001333679,0.002240596,0.001516887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007468226,"about_ca_system_score_gemma":0.0001520889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001935874,"about_ca_topic_score_gemma":0.00006266613,"domain_scores_codex":[0.9916264,0.004054095,0.0005513958,0.001628351,0.001408255,0.0007314893],"domain_scores_gemma":[0.9971244,0.001838015,0.0001440173,0.000411848,0.0001612433,0.0003204704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001160521,0.0003632751,1.851762e-7,0.0003132218,0.00001737628,0.0003805838,0.000203723,0.000005353265,0.01287953,0.3044202,0.00005467125,0.6802014],"study_design_scores_gemma":[0.001765978,0.01534185,0.0002752662,0.007851289,0.0001342867,0.0005393174,0.001876496,0.001839106,0.002699765,0.9262825,0.04009095,0.001303243],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3175354,0.3697009,0.03375225,0.02301921,0.03557926,0.08050469,0.002071806,0.008115464,0.129721],"genre_scores_gemma":[0.2786666,0.7186979,0.00006196596,0.0001706051,0.0006339535,0.001196494,0.00001561113,0.00006393958,0.000492932],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6788982,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4211459651335118,"score_gpt":0.56851873585838,"score_spread":0.1473727707248682,"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."}}