{"id":"W2166085317","doi":"10.1111/j.1551-6709.2010.01137.x","title":"The Role of Within‐Category Variability in Category‐Based Induction: A Developmental Study","year":2010,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; University of Michigan","keywords":"Psychology; Categorization; Prime (order theory); Priming (agriculture); Generalization; Preference; Cognitive psychology; Concept learning; Homogeneity (statistics); Developmental psychology; Mathematics; Statistics; Computer science; Artificial intelligence; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004036896,0.0001108286,0.0001233693,0.0001217161,0.0003833318,0.00004199025,0.0003686578,0.0000432117,0.0002061799],"category_scores_gemma":[0.001047195,0.00007950311,0.00002229901,0.0008055167,0.0009563689,0.0001058233,0.0001047775,0.0004430205,0.00007833323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004696909,"about_ca_system_score_gemma":0.0006710102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143334,"about_ca_topic_score_gemma":0.000245498,"domain_scores_codex":[0.9984437,0.0001887695,0.0002809727,0.0004754433,0.0003305261,0.0002805544],"domain_scores_gemma":[0.9990495,0.0003639141,0.0001167995,0.0001686138,0.0002317757,0.00006939089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717869,0.001053052,0.8884087,0.000002512417,0.00001864567,0.000008769555,0.02297404,0.000001314855,0.03049189,0.01048313,0.00001244832,0.0463737],"study_design_scores_gemma":[0.0004968119,0.0001162846,0.9663604,0.000007637765,0.000004994114,0.000007120114,0.02328843,0.00003869392,0.00809086,0.001231649,0.0002411671,0.000115955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636357,0.00001771816,0.00004805636,0.00006287012,0.0006077817,0.0003861495,0.000001928307,0.0000212057,0.03521853],"genre_scores_gemma":[0.9995621,2.217605e-7,0.000180516,0.00005519534,0.00003162163,0.00005671566,0.000001205611,0.000005848744,0.0001065743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07795169,"threshold_uncertainty_score":0.3523781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882840849068379,"score_gpt":0.3031094182200079,"score_spread":0.2842810097293241,"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."}}