{"id":"W4247566030","doi":"10.4018/978-1-4666-0261-8.ch003","title":"Hierarchies of Architectures of Collaborative Computational Intelligence","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 Alberta","funders":"","keywords":"Computer science; Reuse; Computational intelligence; Data science; Distributed knowledge; Cluster analysis; Knowledge management; Artificial intelligence; Engineering","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":[0.0001766561,0.0003225943,0.0005281436,0.0001357879,0.00006310745,0.00003048338,0.0007932415,0.0001802856,0.00001038827],"category_scores_gemma":[0.00003057678,0.0003087348,0.0001822279,0.00008161961,0.0003967979,0.00002888937,0.0005202501,0.0002721487,0.00001356193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006405093,"about_ca_system_score_gemma":0.0003854619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480533,"about_ca_topic_score_gemma":0.00001295731,"domain_scores_codex":[0.9982905,0.00005776359,0.0005253541,0.0003852641,0.0004788104,0.000262308],"domain_scores_gemma":[0.9980067,0.0003895676,0.0005325856,0.0003774205,0.0005855109,0.0001082248],"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":[0.00002170852,0.00001146446,0.0000170417,0.00003966666,0.00009418528,0.000004680026,0.0004471036,0.002550436,0.000003796992,0.8457277,0.0001728085,0.1509094],"study_design_scores_gemma":[0.0001225878,0.0001970038,0.0001860265,0.0005129107,0.00003609549,0.00002574559,0.000009948597,0.004116084,0.0005390956,0.992465,0.001441606,0.0003479287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000219432,0.002057606,0.3310325,0.00002512634,0.0003282625,0.0002284437,0.0001321923,0.00007045992,0.665906],"genre_scores_gemma":[0.9671314,0.00001097279,0.03010446,0.0001068508,0.0001851197,0.000003977038,0.000004798682,0.00001746916,0.002434921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.966912,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881471912766369,"score_gpt":0.2592860599420251,"score_spread":0.2404713408143614,"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."}}