{"id":"W4408635460","doi":"10.3389/fdpys.2025.1526486","title":"Teaching social robots: the effect of robot mistakes on children's learning-through-teaching","year":2025,"lang":"en","type":"article","venue":"Frontiers in Developmental Psychology","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Robot; Psychology; Computer science; Artificial intelligence; Human–computer interaction; Mathematics education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002482023,0.00070518,0.0004973377,0.0005735447,0.000353302,0.0009126498,0.0007533317,0.0006536657,0.001715431],"category_scores_gemma":[0.01572206,0.000491614,0.0005215515,0.0002368513,0.001559939,0.0008721872,0.001203511,0.001249665,0.0001723072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008702899,"about_ca_system_score_gemma":0.0006920924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004109537,"about_ca_topic_score_gemma":0.006095282,"domain_scores_codex":[0.997122,0.0006374132,0.000265838,0.0005565245,0.0009968561,0.0004214281],"domain_scores_gemma":[0.9809327,0.009359829,0.006114459,0.001318319,0.0009003152,0.001374304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003340323,0.003510578,0.7892116,0.0006094562,0.0003028336,0.001809385,0.01982372,0.001842058,0.1051813,0.0005881291,0.0006615629,0.07311913],"study_design_scores_gemma":[0.00004426043,0.00258384,0.9697046,0.00007322994,0.0001394872,0.000536878,0.00246999,0.0008422989,0.02256887,0.0003159028,0.000685135,0.00003548755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993747,0.00007174799,0.000120327,0.00001862874,0.000002665128,0.000006511726,0.0000208705,0.00001108444,0.0003735668],"genre_scores_gemma":[0.9988222,0.0001176358,0.0006083915,0.00001607069,0.000002721952,0.00002985934,0.00003957863,0.000008882227,0.0003547322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004109537,"threshold_uncertainty_score":0.01312637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988358909079992,"score_gpt":0.3658381424523949,"score_spread":0.345954553361595,"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."}}