{"id":"W2783982841","doi":"10.4018/ijcini.2018010101","title":"Cognitive Informatics","year":2018,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cognitive computing; Computer science; Informatics; Cognition; Cognitive robotics; Field (mathematics); Cognitive science; Artificial intelligence; LIDA; Data science; Cognitive architecture; Embodied cognition; Psychology; Mathematics; 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":[0.001150005,0.0009578554,0.000622576,0.002314846,0.001738097,0.007479175,0.001331455,0.00168055,0.03304586],"category_scores_gemma":[0.004832711,0.0003054759,0.0007152266,0.001820585,0.005542429,0.006177994,0.003320174,0.002482159,0.009782467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390589,"about_ca_system_score_gemma":0.002236938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128517,"about_ca_topic_score_gemma":0.001369889,"domain_scores_codex":[0.9985608,0.0003968757,0.0001006095,0.0003552831,0.0004718963,0.0001145739],"domain_scores_gemma":[0.9981309,0.0007280183,0.0001056315,0.0005243287,0.0003617071,0.0001494886],"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":[0.000009515804,0.00001127298,0.0001555379,0.0001368282,0.00001234465,0.00005019646,0.0003886878,0.0003425523,0.0001632286,0.9389587,0.02170391,0.03806728],"study_design_scores_gemma":[0.000005379851,0.000007429677,0.0001995723,0.0001061368,0.000005901858,0.000148259,0.000173967,0.0006766682,0.0001817674,0.7577896,0.2406954,0.00001001949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004793169,0.01682498,0.1240496,0.01683673,0.00173021,0.0001573588,0.001050002,0.001263629,0.8332944],"genre_scores_gemma":[0.4646593,0.03956934,0.1640037,0.01252343,0.006238138,0.0009491106,0.004152506,0.000790646,0.3071138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03304586,"threshold_uncertainty_score":0.1105494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923639097393936,"score_gpt":0.3104507584282109,"score_spread":0.2912143674542715,"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."}}