{"id":"W2201096852","doi":"10.4018/ijssci.2015040103","title":"Cognitive Informatics and Computational Intelligence","year":2015,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of New Brunswick; University of Calgary","funders":"","keywords":"Cognitive computing; Computer science; Informatics; Cognition; LIDA; Multidisciplinary approach; Computational intelligence; Data science; Cognitive science; Field (mathematics); Information science; Engineering informatics; Artificial intelligence; Health informatics; Cognitive model; Psychology; Sociology; Social science; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002645101,0.0009359738,0.001051521,0.003346479,0.001810444,0.009286346,0.001038986,0.002575063,0.006437423],"category_scores_gemma":[0.005164202,0.0002944489,0.0006838356,0.003008532,0.0205253,0.007922437,0.003290742,0.00428557,0.001271284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003980014,"about_ca_system_score_gemma":0.003117919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804296,"about_ca_topic_score_gemma":0.001613229,"domain_scores_codex":[0.9967421,0.001320913,0.0001780598,0.0006619302,0.0008494239,0.0002475057],"domain_scores_gemma":[0.9962165,0.002544757,0.0002126646,0.0005128945,0.0003195392,0.0001936363],"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":[0.000003609083,0.000004500667,0.0001116641,0.00007062715,0.00000977222,0.00002500534,0.00030519,0.0002944651,0.00004409016,0.9885628,0.002883457,0.007684897],"study_design_scores_gemma":[0.000003111696,0.000004174224,0.0001765589,0.00006825256,0.000003218123,0.00005032965,0.0001206865,0.0003119749,0.00003296814,0.9612791,0.03794448,0.000005161866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01431794,0.1915355,0.1196751,0.08065557,0.002673675,0.0001570212,0.0005065184,0.0004752939,0.5900034],"genre_scores_gemma":[0.73805,0.1112448,0.07581911,0.01884202,0.008451509,0.0006967988,0.000704282,0.000230894,0.04596056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009286346,"threshold_uncertainty_score":0.02887714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427897386390939,"score_gpt":0.3268779665015775,"score_spread":0.2825989926376681,"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."}}