{"id":"W4290879614","doi":"10.31219/osf.io/ej5y3","title":"Ecological meanings: A consensus paper on individual differences and contextual influences in embodied language","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondo para la Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; National Institutes of Health; Universidad del Valle; Consejo Nacional de Investigaciones Científicas y Técnicas; Ministero della Salute; Deutsche Forschungsgemeinschaft; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; European Commission; Alzheimer's Association","keywords":"Embodied cognition; Context (archaeology); Cognition; Cognitive psychology; Psychology; Narrative; Cognitive science; Computer science; Neuroscience; Linguistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03005901,0.001145095,0.002364201,0.005051999,0.001915079,0.006795636,0.003745718,0.007611169,0.004750751],"category_scores_gemma":[0.04488162,0.0005631641,0.001843279,0.003925851,0.01625725,0.01153228,0.01043452,0.009737887,0.0009455348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003627672,"about_ca_system_score_gemma":0.005615421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739765,"about_ca_topic_score_gemma":0.001466547,"domain_scores_codex":[0.9902198,0.004253132,0.001326162,0.002346285,0.001437906,0.0004167529],"domain_scores_gemma":[0.9520737,0.03908213,0.00140393,0.001908805,0.004334978,0.001196411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002515785,0.00006104044,0.001915247,0.008754682,0.0005614054,0.0006160138,0.01761753,0.001044148,0.0006755826,0.6268865,0.03903241,0.3025838],"study_design_scores_gemma":[0.00005403244,0.00007004371,0.003529282,0.008722192,0.0004079839,0.0008346109,0.005849766,0.0006363139,0.0006095894,0.6116493,0.3675225,0.0001144491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01001953,0.5948566,0.07631531,0.2656074,0.02291005,0.0001035974,0.0002909911,0.000118395,0.0297781],"genre_scores_gemma":[0.323595,0.5040506,0.04694619,0.0896314,0.02679991,0.000911408,0.0007363301,0.0005571453,0.006772077],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03005901,"threshold_uncertainty_score":0.1589692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07504925898983315,"score_gpt":0.3446411420845226,"score_spread":0.2695918830946894,"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."}}