{"id":"W2149967314","doi":"10.1037//0012-1649.37.6.791","title":"Differences in preschool children's conceptual strategies when thinking about animate entities and artifacts.","year":2001,"lang":"en","type":"article","venue":"Developmental Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Psychology; Conceptual change; Concept learning; Developmental psychology; Sample (material); Thematic map; Cognitive psychology; Child development; Cognitive development; Set (abstract data type); Cognition; Mathematics education; Computer science; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003046363,0.0003462223,0.0004162746,0.0002538237,0.0002073996,0.0001479312,0.0003235688,0.0002105703,0.003423372],"category_scores_gemma":[0.00002317338,0.0003251866,0.00004532842,0.0001780481,0.0004155,0.0002659605,0.0001455678,0.000462506,0.000439609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005686119,"about_ca_system_score_gemma":0.0000713644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001935569,"about_ca_topic_score_gemma":0.0001814588,"domain_scores_codex":[0.997636,0.0001693944,0.0005275898,0.0007736433,0.0002206583,0.0006727326],"domain_scores_gemma":[0.999455,0.00007777984,0.0001359917,0.0001797941,0.00002484969,0.0001266027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001947698,0.0001808797,0.945673,0.000006776753,0.0001199903,0.0001129017,0.02187992,3.69274e-7,0.0003845875,0.02087899,0.001978327,0.008589507],"study_design_scores_gemma":[0.001374777,0.000131343,0.9792878,0.00006544925,0.000007901466,0.0003177089,0.007520464,0.000001138845,0.00002432056,0.003488178,0.007375671,0.0004052249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178329,0.0008709608,0.0000662501,0.0004858551,0.0005084561,0.0002826218,0.00000724797,0.0001339528,0.0798118],"genre_scores_gemma":[0.9950925,0.0002442849,0.001592238,0.001266686,0.00009848634,0.00005593315,0.00004153536,0.00003111113,0.001577217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07823459,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913619818996,"score_gpt":0.2937707231095205,"score_spread":0.2646345249195605,"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."}}