{"id":"W3123195249","doi":"","title":"Contrasting Rule-Based and Similarity-Based Category Learning: The Effects of Mood and Prior Knowledge on Ambiguous Categorization","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"","keywords":"Categorization; Similarity (geometry); Product (mathematics); Feature (linguistics); Product category; Concept learning; Mood; Phenomenon; Cognitive psychology; Psychology; Artificial intelligence; Computer science; Natural language processing; Social psychology; Mathematics; Linguistics; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004989837,0.0003066518,0.0005839106,0.0005411423,0.0005192717,0.002625054,0.0006208249,0.0008687319,0.002991809],"category_scores_gemma":[0.06655394,0.0004474131,0.0004587098,0.0002998281,0.001290544,0.001866117,0.001366953,0.001661555,0.0004370591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732515,"about_ca_system_score_gemma":0.0003043103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237088,"about_ca_topic_score_gemma":0.001738406,"domain_scores_codex":[0.9968425,0.001562459,0.0001716957,0.00064956,0.0006203064,0.0001534934],"domain_scores_gemma":[0.9010328,0.08128989,0.007456869,0.00599462,0.002701866,0.001524108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02547211,0.007176673,0.3828779,0.0008318177,0.001062829,0.0007409313,0.01397068,0.00684307,0.2992521,0.009475525,0.001308109,0.2509884],"study_design_scores_gemma":[0.0006737969,0.003592593,0.9121904,0.00009376157,0.0006845682,0.0005924829,0.002073084,0.02756564,0.0295341,0.02152322,0.001251791,0.0002245582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913934,0.0001151325,0.002722122,0.0001512692,0.00001660771,0.00004053391,0.00003465056,0.00001480206,0.005511451],"genre_scores_gemma":[0.9975038,0.00006045049,0.001756422,0.0001188482,0.00002415764,0.00002584032,0.0000507647,0.00001749397,0.0004421961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004989837,"threshold_uncertainty_score":0.02638906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358512611417463,"score_gpt":0.2411206950493141,"score_spread":0.2275355689351395,"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."}}