{"id":"W4319601774","doi":"10.3389/fnbot.2023.1151062","title":"Corrigendum: Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication","year":2023,"lang":"en","type":"erratum","venue":"Frontiers in Neurorobotics","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust","keywords":"Computer science; Joint (building); Inference; Artificial intelligence; Machine learning","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":[0.00415949,0.001733469,0.001368793,0.001831135,0.002697052,0.004530483,0.003224801,0.005745954,0.1088401],"category_scores_gemma":[0.108617,0.0009345159,0.00145594,0.002344054,0.002819998,0.003248559,0.003319809,0.005629115,0.03990656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003433567,"about_ca_system_score_gemma":0.004111683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02894313,"about_ca_topic_score_gemma":0.03218336,"domain_scores_codex":[0.996675,0.0009687176,0.0003269595,0.00071875,0.001137131,0.0001734134],"domain_scores_gemma":[0.9657463,0.01707929,0.0009528191,0.002785894,0.01266047,0.0007752107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003638384,0.000005983275,0.000257864,0.0001491681,0.00002309789,0.0002704503,0.0001073505,0.001051918,0.00005424373,0.008873273,0.9767609,0.01240926],"study_design_scores_gemma":[0.0001423891,0.0000612412,0.00151235,0.001021629,0.0001767447,0.001523138,0.0003769135,0.02425483,0.001668431,0.08416991,0.8848937,0.0001987516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002331594,0.003896588,0.0794724,0.2238404,0.6436493,0.0001254167,0.009683925,0.003962658,0.03303761],"genre_scores_gemma":[0.1683771,0.01168895,0.1207697,0.118728,0.1085182,0.00140472,0.01803848,0.01321107,0.439264],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1088401,"threshold_uncertainty_score":0.3641065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056827482519541,"score_gpt":0.329063297338644,"score_spread":0.2233805490866899,"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."}}