{"id":"W4395458766","doi":"10.1002/wcs.1676","title":"Children's anthropomorphism of inanimate agents","year":2024,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Cognitive Science","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Perception; Context (archaeology); Animism; Robot; Extant taxon; Cognition; Motion (physics); Robotics; Cognitive psychology; Cognitive science; Biological motion; Developmental psychology; Artificial intelligence; Computer science; Sociology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00133775,0.00025684,0.0004375817,0.0003405303,0.0003208831,0.00008527108,0.0005277831,0.00005087268,0.002579045],"category_scores_gemma":[0.0001130245,0.0001949614,0.0002011784,0.001254385,0.001503602,0.0003124533,0.0007665915,0.0003049567,0.002952946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006763344,"about_ca_system_score_gemma":0.0001188604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007132704,"about_ca_topic_score_gemma":0.000001454315,"domain_scores_codex":[0.9975979,0.0001362685,0.0005880312,0.0008679595,0.0003529775,0.0004568996],"domain_scores_gemma":[0.9991863,0.00009312299,0.0001679583,0.0002834778,0.0001282049,0.0001408693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002071256,0.0008904772,0.02700923,0.0005691231,0.0002875526,0.0003616355,0.03635922,8.639825e-7,0.007727999,0.01780217,0.05107241,0.8577122],"study_design_scores_gemma":[0.0007487919,0.001492607,0.9239848,0.01828776,0.0002079705,0.0006248748,0.002619497,0.0001742105,0.001976023,0.001668322,0.04712906,0.001086074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85439,0.04860589,0.00123967,0.001070604,0.003427102,0.00151731,0.0001142894,0.0002443746,0.08939079],"genre_scores_gemma":[0.9968531,0.001340352,0.0002027348,0.0001811868,0.0001823629,0.00005683521,0.00002099918,0.00002319079,0.001139313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8969756,"threshold_uncertainty_score":0.9983327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044972272681037,"score_gpt":0.4030427371816831,"score_spread":0.3625930144548727,"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."}}