{"id":"W2624952021","doi":"","title":"Testing Additional Category Knowledge in a One-Dimension Sorting Task","year":2003,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Sorting; Dimension (graph theory); Salient; Similarity (geometry); Task (project management); Cognitive psychology; Psychology; Artificial intelligence; Social psychology; Computer science; Mathematics; Combinatorics","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":[0.003529085,0.001071538,0.0009538984,0.001001238,0.0004574884,0.001360423,0.00155562,0.002623785,0.006974735],"category_scores_gemma":[0.01912673,0.0006188305,0.0004899423,0.0005182427,0.001208547,0.00374926,0.001889935,0.001899422,0.00163193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003033222,"about_ca_system_score_gemma":0.0006979689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004804801,"about_ca_topic_score_gemma":0.0004752179,"domain_scores_codex":[0.9969807,0.0005088566,0.0004905354,0.0008786998,0.0009314548,0.0002098165],"domain_scores_gemma":[0.9682331,0.0235081,0.00233559,0.003423948,0.001249776,0.001249467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007127448,0.03492583,0.07274771,0.001295911,0.0002185286,0.001566132,0.01494582,0.001994198,0.6920987,0.003963385,0.001401107,0.1677152],"study_design_scores_gemma":[0.001968003,0.04971866,0.3346669,0.0003947763,0.0003826446,0.005580475,0.006777797,0.03365625,0.5308375,0.02345222,0.01196593,0.0005989362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950919,0.00003935617,0.001793475,0.00007819947,0.00002867603,0.0001223097,0.000111726,0.00005105015,0.002683297],"genre_scores_gemma":[0.9818925,0.0001314175,0.01292227,0.0003093826,0.00002234683,0.0005643151,0.0006191917,0.0000292708,0.003509311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006974735,"threshold_uncertainty_score":0.02333277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072532035187841,"score_gpt":0.245433742848188,"score_spread":0.2147084224963096,"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."}}