{"id":"W2472718079","doi":"10.3758/s13423-016-1102-x","title":"Key cognitive preconditions for the evolution of language","year":2016,"lang":"en","type":"review","venue":"Psychonomic Bulletin & Review","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Psychology; Embodied cognition; Adaptation (eye); Reciprocal; Expression (computer science); Cognitive science; Cognition; Function (biology); Cognitive psychology; Set (abstract data type); Key (lock); Social complexity; Communication; Linguistics; Neuroscience; Sociology; Epistemology; Computer science; Evolutionary biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00117907,0.0002510225,0.001006523,0.00004476422,0.000349203,0.00002504491,0.000489136,0.000190489,0.00453884],"category_scores_gemma":[0.0006579651,0.0001345143,0.0008996964,0.0002001452,0.000261123,0.00005192124,0.00003133566,0.00016302,0.001261374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404166,"about_ca_system_score_gemma":0.0003318835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004402292,"about_ca_topic_score_gemma":0.0001482767,"domain_scores_codex":[0.998041,0.0004933602,0.0006659076,0.0003418827,0.0001605582,0.0002972748],"domain_scores_gemma":[0.9976159,0.001071087,0.0007760035,0.0003169885,0.0001498891,0.00007016318],"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":[0.000002254601,0.00001906404,7.894428e-8,0.01111457,0.000113108,2.075365e-7,0.0004764252,4.007608e-9,1.072497e-7,0.003120833,0.07788601,0.9072673],"study_design_scores_gemma":[0.0000981947,0.00001607833,7.885202e-7,0.07961366,0.001112418,0.000004799312,0.000756067,3.514047e-8,4.427547e-8,0.00009010248,0.9181293,0.0001785258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.116146e-7,0.981294,0.0003348185,0.001615933,0.0005545181,0.003756458,0.0004610442,0.00003834099,0.01194466],"genre_scores_gemma":[0.000007438503,0.9904913,0.0000731805,0.0002183436,0.0008116179,0.001086146,0.0001071617,0.00002629636,0.007178514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9070888,"threshold_uncertainty_score":0.9995162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017272728850638,"score_gpt":0.3920838665571014,"score_spread":0.351911139268595,"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."}}