{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083939,0.0004301581,0.0006113854,0.0009781366,0.0002942151,0.001906679,0.0003238521,0.0006967295,0.003097306],"category_scores_gemma":[0.003471901,0.0002383098,0.0003914362,0.0006320366,0.001449078,0.001866283,0.001027933,0.0008231139,0.0003845693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005046814,"about_ca_system_score_gemma":0.0007685881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778561,"about_ca_topic_score_gemma":0.001939823,"domain_scores_codex":[0.9994408,0.0001393623,0.00006267691,0.0001140259,0.0001847094,0.00005842203],"domain_scores_gemma":[0.9986557,0.0006887818,0.0003871358,0.00004200342,0.000160859,0.00006550166],"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":[0.0001437669,0.0001407285,0.05646816,0.01021474,0.000166896,0.00355689,0.03063465,0.0003948424,0.008159335,0.02373522,0.004353249,0.8620315],"study_design_scores_gemma":[0.0000276219,0.0005977075,0.5330018,0.01043002,0.0005538249,0.02423832,0.02560277,0.0003307197,0.007124319,0.02455511,0.3733737,0.000163935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4467733,0.4907513,0.004776965,0.003044974,0.0005219331,0.00007171896,0.0003874239,0.00009636467,0.05357613],"genre_scores_gemma":[0.5453582,0.4440302,0.003662414,0.0006803253,0.0001658065,0.0000923415,0.0002724794,0.00003111164,0.005707194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003097306,"threshold_uncertainty_score":0.01036149,"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."}}