{"id":"W1977230192","doi":"10.1111/bjdp.12068","title":"The animate–inanimate distinction in preschool children","year":2014,"lang":"en","type":"article","venue":"British Journal of Developmental Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Concordia University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Superordinate goals; Psychology; Object (grammar); Developmental psychology; Cognitive psychology; Social psychology; Computer science; Artificial intelligence","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":[0.001522505,0.000177198,0.0003158696,0.0001359743,0.0002858444,0.0001038307,0.0004531018,0.000126832,0.0003737534],"category_scores_gemma":[0.0002243643,0.0001589054,0.00009844378,0.0002394943,0.0001360122,0.00008839913,0.00007095506,0.0006647511,0.0002473341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101244,"about_ca_system_score_gemma":0.00005723881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000053995,"about_ca_topic_score_gemma":0.0001212586,"domain_scores_codex":[0.9977214,0.0003489636,0.0008849494,0.0003160038,0.0002510555,0.000477584],"domain_scores_gemma":[0.9991148,0.0001343464,0.0004233959,0.0001274645,0.00008140816,0.0001185997],"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":[0.0006439375,0.0004713811,0.4020137,0.000007341744,0.0002037864,0.0003243505,0.000761688,0.000004245985,0.0009972173,0.002089927,0.02916089,0.5633215],"study_design_scores_gemma":[0.001870316,0.0002240444,0.9515277,0.0001078826,0.000008849192,0.01132837,0.000181312,0.000001823799,0.00002898509,0.0006111961,0.03392137,0.0001881994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714452,0.0009220034,0.0001731797,0.0006022907,0.001373446,0.0001643095,0.000003336831,0.00002638309,0.02528984],"genre_scores_gemma":[0.9972781,0.0002209371,0.001201585,0.0005241875,0.000261912,0.00001085417,0.000005910476,0.00002968015,0.0004668475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5631334,"threshold_uncertainty_score":0.6479976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009083550894304777,"score_gpt":0.2770679420853546,"score_spread":0.2679843911910498,"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."}}