{"id":"W4385713330","doi":"10.1016/j.cognition.2023.105589","title":"Meaning in hand: Investigating shared mechanisms of motor imagery and sensorimotor simulation in language processing","year":2023,"lang":"en","type":"article","venue":"Cognition","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Motor imagery; Cognitive psychology; Meaning (existential); Referent; Action (physics); Mental image; Embodied cognition; Foot (prosody); Cognition; Linguistics; Artificial intelligence; Computer science; Electroencephalography; 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":[],"consensus_categories":[],"category_scores_codex":[0.000275191,0.00006633383,0.000103485,0.0003024903,0.00004656695,0.00002625584,0.00002246009,0.00007707575,0.0001116946],"category_scores_gemma":[0.0003084503,0.00007657315,0.00001180616,0.0005279502,0.00002641032,0.0002441703,0.00001302197,0.00008176064,0.00002173053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968678,"about_ca_system_score_gemma":0.00001627214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002816928,"about_ca_topic_score_gemma":0.0000380362,"domain_scores_codex":[0.9992794,0.00008596946,0.0002599795,0.0001646408,0.00009995572,0.0001100974],"domain_scores_gemma":[0.9996174,0.0001051533,0.0001292351,0.00005323379,0.00007205,0.00002290132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001593835,0.0001910451,0.08202355,0.0005814283,0.00002404712,0.00005414731,0.06128041,0.005490481,0.707095,0.001437352,0.0001166607,0.1415465],"study_design_scores_gemma":[0.001881165,0.00005824349,0.5643545,0.000429276,0.00001386288,0.000003254738,0.009082466,0.4070078,0.01162955,0.005324066,0.00001340822,0.0002023581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866132,0.0000334052,0.01192137,0.0000753377,0.00009555485,0.0002466987,0.00001263138,0.00007550549,0.000926348],"genre_scores_gemma":[0.9988794,0.000001582615,0.0006317407,0.00009536641,0.00003442129,0.00003007934,0.0001988007,0.00001384256,0.0001147832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6954655,"threshold_uncertainty_score":0.3122562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891653241239627,"score_gpt":0.340074440401601,"score_spread":0.2811579079892047,"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."}}