{"id":"W2312781757","doi":"10.1177/1541931213571032","title":"Cognitive Engineering Across Domains","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Variety (cybernetics); Cognition; Field (mathematics); Computer science; Data science; Aviation; Management science; Psychology; Engineering; Artificial intelligence; Mathematics","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":[0.01106378,0.001266425,0.0008125025,0.003069622,0.002929295,0.01288174,0.001880998,0.00287778,0.01380838],"category_scores_gemma":[0.0207094,0.0006408402,0.001772998,0.002401754,0.009160096,0.01058928,0.00988579,0.005160318,0.002564355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221945,"about_ca_system_score_gemma":0.004130285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998389,"about_ca_topic_score_gemma":0.001427378,"domain_scores_codex":[0.9905989,0.005023155,0.000797069,0.001350481,0.001691718,0.0005387366],"domain_scores_gemma":[0.9811933,0.01098309,0.0005940251,0.004186649,0.002310035,0.0007328686],"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":[0.00000812176,0.00002127438,0.0002406854,0.0001615776,0.00002049354,0.00006872157,0.0008688277,0.001207199,0.0001661424,0.9507748,0.003600512,0.04286175],"study_design_scores_gemma":[0.0000110219,0.0000199946,0.0003205156,0.0002424997,0.00001291628,0.0001266607,0.0008323688,0.002599353,0.0002984721,0.8898399,0.1056808,0.0000156007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008296377,0.009267529,0.6692981,0.02582558,0.00218083,0.0003649031,0.000275647,0.0004260222,0.284065],"genre_scores_gemma":[0.4057023,0.0157188,0.5123267,0.009434876,0.003201644,0.001935084,0.0007932693,0.0004361769,0.05045111],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01380838,"threshold_uncertainty_score":0.05851156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737221272025862,"score_gpt":0.2939619497700673,"score_spread":0.2765897370498087,"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."}}