{"id":"W2767855269","doi":"","title":"A Connectionist Model of Semantic Memory: Superordinate structure without hierarchies","year":2001,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Superordinate goals; Connectionism; Categorization; Combinatorics; Psychology; Computer science; Physics; Natural language processing; Artificial intelligence; Cognitive science; Cognitive psychology; Philosophy; Mathematics; Social psychology; Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217051,0.0004699465,0.0006213529,0.001252628,0.0008580707,0.003351081,0.002700032,0.001822412,0.008703013],"category_scores_gemma":[0.002828395,0.0006964311,0.001151346,0.001203471,0.003398616,0.01202719,0.001555544,0.002016397,0.001246526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332765,"about_ca_system_score_gemma":0.001317562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201279,"about_ca_topic_score_gemma":0.00355404,"domain_scores_codex":[0.9994392,0.0001757918,0.00002373522,0.000166716,0.0001139811,0.00008055724],"domain_scores_gemma":[0.9988936,0.000461977,0.0001173348,0.0002161846,0.000151222,0.0001598439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009419223,0.00004491901,0.0009652232,0.00007547886,0.00003639519,0.0001442888,0.0008861474,0.008785201,0.0008245082,0.9698854,0.001364761,0.0168934],"study_design_scores_gemma":[0.00002610175,0.00002335559,0.0004509017,0.00001213172,0.00001393949,0.0001079397,0.00006617673,0.03596052,0.0001027409,0.9616637,0.001563035,0.00000937454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.178876,0.003211591,0.603529,0.01536693,0.0003749293,0.0001840014,0.0008403942,0.0008634882,0.1967537],"genre_scores_gemma":[0.9360648,0.001119482,0.04689937,0.0005858227,0.0002610722,0.0001501009,0.0003009452,0.00008098608,0.01453728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008703013,"threshold_uncertainty_score":0.02911448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748105153553088,"score_gpt":0.2146178144477142,"score_spread":0.1971367629121833,"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."}}