{"id":"W4240112377","doi":"10.4018/978-1-60566-170-4.ch009","title":"The Cognitive Process of Decision Making","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Management science; Influence diagram; Decision engineering; Decision analysis; Process (computing); Decision support system; Decision theory; Cognition; R-CAST; Artificial intelligence; Decision field theory; Business decision mapping; Decision tree; Mathematics; Engineering; Psychology","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":[0.003376632,0.0008534152,0.0007070933,0.001381116,0.001049151,0.00619353,0.00145094,0.001959546,0.006971278],"category_scores_gemma":[0.006674582,0.0003088188,0.000838718,0.001699856,0.006928043,0.005044962,0.00204189,0.002980883,0.002040714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002685877,"about_ca_system_score_gemma":0.002646079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238635,"about_ca_topic_score_gemma":0.0009490254,"domain_scores_codex":[0.9964961,0.00161992,0.000165358,0.0005585399,0.0009927747,0.0001673247],"domain_scores_gemma":[0.9969504,0.002144824,0.000183937,0.0002572354,0.0003370649,0.0001264511],"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":[0.00001649508,0.00002175869,0.0002104746,0.0001969159,0.00003355914,0.00009447705,0.001484637,0.002881095,0.0004859903,0.9578054,0.003875074,0.0328942],"study_design_scores_gemma":[0.00001103346,0.00002270929,0.0002597947,0.0001408776,0.00001306525,0.0001192392,0.0003201997,0.004789888,0.0002614044,0.9412222,0.05281645,0.00002323675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02277204,0.02074269,0.578653,0.01535679,0.0008303105,0.0004191136,0.0004686491,0.0004115924,0.3603458],"genre_scores_gemma":[0.6018345,0.02631788,0.3195667,0.003534592,0.0008582958,0.0009041366,0.0008319842,0.0001626086,0.04598938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006971278,"threshold_uncertainty_score":0.02332121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112553342994684,"score_gpt":0.2893066521763264,"score_spread":0.2581811187463796,"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."}}