{"id":"W4234770686","doi":"10.4018/978-1-4666-0264-9.ch001","title":"Perspectives on Cognitive Computing and Applications","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta; University of Calgary","funders":"","keywords":"Cognitive computing; Computer science; Cognition; Informatics; Cognitive architecture; Field (mathematics); Cognitive science; Von Neumann architecture; Data science; Perception; Human–computer interaction; Artificial intelligence; Psychology; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001632178,0.000407889,0.0003496402,0.00008064866,0.0002924669,0.000176768,0.0004238565,0.0002459804,0.000005496406],"category_scores_gemma":[0.00001631935,0.0004190864,0.0001279643,0.00003506866,0.0001806557,0.00005140037,0.0005659885,0.0004415683,0.0001699444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200719,"about_ca_system_score_gemma":0.0000747841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000596196,"about_ca_topic_score_gemma":0.000003358644,"domain_scores_codex":[0.9982555,0.00003328914,0.0002387885,0.0008024858,0.0002785082,0.0003914149],"domain_scores_gemma":[0.9986396,0.0003091842,0.0002116971,0.0003830416,0.0002488579,0.0002075562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005185908,0.00001217027,0.000007738377,0.000009263833,0.0000477282,0.00000608347,0.0002818586,0.000001092178,3.323996e-7,0.695076,0.0001293695,0.3044232],"study_design_scores_gemma":[0.001608225,0.0005974927,0.0008994878,0.002842925,0.0003258288,0.0003671805,0.0004538606,0.004052654,0.00003994687,0.9408342,0.04508346,0.002894757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00004856916,0.003213929,0.2151398,0.00003455221,0.0001602921,0.0003872947,0.00002936013,0.0002661394,0.7807201],"genre_scores_gemma":[0.9829772,0.00006006861,0.002632442,0.0007305082,0.001609437,0.00002161376,0.000004799736,0.00004391024,0.01191998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829287,"threshold_uncertainty_score":0.9998261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950328800393406,"score_gpt":0.2646958049567875,"score_spread":0.2451925169528535,"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."}}