{"id":"W4410253917","doi":"10.1038/s41598-025-96229-7","title":"Children’s attribution of mental states to humans and social robots assessed with the Theory of Mind Scale","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Calgary","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Attribution; Theory of mind; Scale (ratio); Psychology; Computer science; Data science; Social psychology; Psychiatry; Geography; Cognition; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001091497,0.00007434203,0.0001418307,0.00008812296,0.0002639477,0.00003994882,0.00007109692,0.00003035325,0.0001167351],"category_scores_gemma":[0.00001030072,0.00004852176,0.00003278823,0.0002452497,0.0003229112,0.00002721303,0.00005593871,0.00006225183,0.000002836718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797276,"about_ca_system_score_gemma":0.00006247352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002300713,"about_ca_topic_score_gemma":0.00004723162,"domain_scores_codex":[0.9990169,0.0000730964,0.0002405944,0.0003380256,0.0001941992,0.0001371404],"domain_scores_gemma":[0.9994826,0.00003053477,0.0001783125,0.0002065583,0.00008077286,0.0000211639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003148266,0.0005721985,0.8384436,0.00005814588,0.0003426774,0.00002451765,0.04144093,0.00004954403,0.05246172,0.007409311,0.04209089,0.0167916],"study_design_scores_gemma":[0.0001721742,0.00004910196,0.9821271,0.00004364829,0.00002641911,0.0000146986,0.001290124,7.292672e-7,0.00899927,0.0005714276,0.006641374,0.00006399098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968551,0.00006967204,0.0003431898,0.0006745225,0.0007084545,0.0002674867,0.0000106833,0.000007579168,0.001063282],"genre_scores_gemma":[0.9950542,5.748921e-7,0.0001097115,0.00003471469,0.00001791563,0.000008287725,0.00004993717,0.00000405218,0.004720632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436834,"threshold_uncertainty_score":0.2030099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105042475026568,"score_gpt":0.2787423357661866,"score_spread":0.2682380882635298,"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."}}