{"id":"W4313449193","doi":"10.1038/s42256-022-00591-4","title":"Language and culture internalization for human-like autotelic AI","year":2022,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Microsoft (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Cognitive science; Cognition; Computer science; Perspective (graphical); Psychology; 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":[0.001172948,0.0002132949,0.0001898948,0.0005636606,0.001788625,0.004197388,0.0006459465,0.0009444251,0.006355411],"category_scores_gemma":[0.00351597,0.000243312,0.0002520742,0.0002978327,0.007451338,0.004141425,0.002529413,0.001648861,0.0004478253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664476,"about_ca_system_score_gemma":0.001523682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002854161,"about_ca_topic_score_gemma":0.001978559,"domain_scores_codex":[0.999122,0.0004078059,0.00003460863,0.0001572571,0.0001375204,0.0001407035],"domain_scores_gemma":[0.9979751,0.0005482009,0.0002118362,0.0005540634,0.0003731068,0.000337721],"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":[0.00006777718,0.00007408993,0.004722657,0.00003703965,0.00002167467,0.0002498783,0.01126034,0.001611168,0.003139865,0.9564919,0.0006273017,0.02169636],"study_design_scores_gemma":[0.00004163257,0.0001410175,0.01500021,0.00006966515,0.00004136535,0.000652072,0.01780631,0.01436349,0.004391995,0.9311628,0.01624698,0.00008247629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6030438,0.0003770754,0.03709247,0.004315365,0.00009779035,0.00004294939,0.00006809407,0.0001441407,0.3548184],"genre_scores_gemma":[0.9957684,0.00002844046,0.001965109,0.00007253652,0.000007492531,0.00001109578,0.000015819,0.00002090722,0.002110186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006355411,"threshold_uncertainty_score":0.02126098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009562203511417676,"score_gpt":0.3544471511249803,"score_spread":0.3448849476135626,"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."}}