{"id":"W2591092135","doi":"","title":"Cognition and Cognitive Dynamic Systems Concepts and Applications in Project Risk Management","year":2017,"lang":"en","type":"article","venue":"American Scientific Research Journal for Engineering, Technology, and Sciences","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cognition; Risk analysis (engineering); Computer science; Process (computing); Risk management; Implementation; Cognitive science; Control (management); Management science; Psychology; Artificial intelligence; Engineering; Software engineering; Medicine","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":[0.001282506,0.0009621516,0.0004445734,0.003181514,0.001508378,0.004163015,0.0007138049,0.00204943,0.003706529],"category_scores_gemma":[0.002468383,0.0002418853,0.0007829141,0.0025624,0.00786334,0.004736922,0.001925346,0.002595695,0.0003202497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045625,"about_ca_system_score_gemma":0.001559866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713972,"about_ca_topic_score_gemma":0.002210876,"domain_scores_codex":[0.9993151,0.0003383551,0.0000480108,0.00009144153,0.0001398797,0.00006718777],"domain_scores_gemma":[0.9984093,0.001150748,0.000152236,0.00007708261,0.000119129,0.00009147311],"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":[0.00000624421,0.00002013448,0.0004413238,0.0001001156,0.00001196486,0.0001415515,0.001475162,0.003141452,0.0001873744,0.9752074,0.0008058883,0.01846134],"study_design_scores_gemma":[0.000003801797,0.00001557534,0.0007571286,0.0001106845,0.000007701881,0.0002004937,0.0007165031,0.004899736,0.0001054667,0.9783146,0.01484952,0.00001862648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07127406,0.1468074,0.4392634,0.03426258,0.001354251,0.0002225058,0.0001783117,0.0002726456,0.3063648],"genre_scores_gemma":[0.847034,0.03727384,0.1026942,0.001516356,0.001006948,0.0003039923,0.00006779528,0.00003833642,0.01006463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004163015,"threshold_uncertainty_score":0.02209759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404888087062556,"score_gpt":0.4051027240717987,"score_spread":0.3610538432011732,"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."}}