{"id":"W2008491660","doi":"10.3389/fpsyg.2014.00506","title":"Developing embodied cognition: insights from children’s concepts and language processing","year":2014,"lang":"en","type":"review","venue":"Frontiers in Psychology","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Embodied cognition; Cognition; Cognitive robotics; Cognitive science; Psychology; Motor cognition; Perspective (graphical); Cognitive psychology; Embodied agent; Social cognition; Computer science; Neuroscience; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001688814,0.0004421375,0.00146784,0.0005306693,0.0001224897,0.00004992819,0.0002787444,0.0009202597,0.0004159216],"category_scores_gemma":[0.00006409062,0.0004230189,0.0001111991,0.0005243386,0.00020621,0.0001238621,0.00004570246,0.00059751,0.0001699012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100532,"about_ca_system_score_gemma":0.0001044059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001841031,"about_ca_topic_score_gemma":0.00002098315,"domain_scores_codex":[0.9971036,0.0006600514,0.0008663171,0.0009086594,0.000134714,0.0003266619],"domain_scores_gemma":[0.9987559,0.0001018407,0.0005958095,0.0004001129,0.0000604687,0.00008585475],"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":[0.00001453462,0.00004068115,0.0002832565,0.0005303712,0.0001251645,0.0000190354,0.001376825,4.863999e-8,5.711008e-8,0.0008761065,0.01189529,0.9848386],"study_design_scores_gemma":[0.001096272,0.00003312108,0.0006917313,0.002217979,0.0001836473,0.00004389166,0.000487977,0.00002317205,8.961781e-8,0.002750017,0.9919902,0.000481889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000184023,0.8856935,0.09216391,0.0000922274,0.004076451,0.0005588838,0.00002764423,0.0001061273,0.01726285],"genre_scores_gemma":[0.0002595482,0.9845174,0.01075658,0.001764493,0.0006542881,0.0002006789,0.001446086,0.00008931023,0.0003116368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9843568,"threshold_uncertainty_score":0.9998221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543460446418621,"score_gpt":0.4033286742467137,"score_spread":0.3478940697825275,"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."}}