{"id":"W2210597060","doi":"","title":"Special Track on Artificial Intelligence, Cognitive Semantic, Computational Linguistics, and Logic.","year":2013,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Artificial intelligence; Computational linguistics; Cognitive science; Natural language processing; Track (disk drive); Psychology","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":[0.002822799,0.001914515,0.002844614,0.003745479,0.002784029,0.009155402,0.00242351,0.004166986,0.2552091],"category_scores_gemma":[0.003964047,0.000595453,0.001834145,0.004223265,0.001076715,0.00678798,0.003654573,0.007984973,0.1251078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004744812,"about_ca_system_score_gemma":0.004868466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005453755,"about_ca_topic_score_gemma":0.01762673,"domain_scores_codex":[0.9981959,0.0002118463,0.0001001997,0.000373035,0.0007555511,0.000363493],"domain_scores_gemma":[0.9940012,0.0006599451,0.0002563666,0.0002761743,0.002355101,0.002451126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002082003,0.00001706208,0.0000505924,0.0000634937,0.000005892147,0.0000146567,0.00002261284,0.00001796715,0.00009750127,0.00158833,0.9869069,0.01119423],"study_design_scores_gemma":[0.00001097146,0.00003030695,0.0004887701,0.0001524245,0.00001360974,0.00004760551,0.0001084979,0.00008463008,0.0001080255,0.003149742,0.9957939,0.00001148049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001121458,0.0755613,0.005349297,0.1061426,0.5461729,0.0004332298,0.004203098,0.0008979478,0.2601182],"genre_scores_gemma":[0.004891338,0.02937486,0.001580104,0.0122222,0.1919658,0.0002944776,0.003575428,0.000607082,0.7554888],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2552091,"threshold_uncertainty_score":0.8537596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270743644044225,"score_gpt":0.283272676132502,"score_spread":0.2405652396920597,"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."}}