{"id":"W2046969462","doi":"10.1002/j.2334-5837.2013.tb03096.x","title":"4.3.3 Systems Engineering Implications of Neuroscience Discoveries","year":2013,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Neuroscience; Cognitive science; Computer science; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006158154,0.0001231577,0.0002289476,0.0002612419,0.00008599204,0.0006831847,0.001374721,0.00004018504,0.0002315149],"category_scores_gemma":[0.00115276,0.00009228069,0.0001132729,0.0005326641,0.00007224647,0.0008396991,0.0003443249,0.00007870518,0.0002581252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005590301,"about_ca_system_score_gemma":0.00003517149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996851,"about_ca_topic_score_gemma":0.000009470336,"domain_scores_codex":[0.9971539,0.00003556641,0.0009201888,0.000386678,0.001325778,0.0001778338],"domain_scores_gemma":[0.9974114,0.0007745834,0.0003729416,0.0005634719,0.0007809185,0.00009670416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001416305,0.0001473101,0.04260008,0.00001241997,0.00002565443,0.000006018718,0.0004831149,0.05118693,0.4829389,0.3964723,0.02201638,0.004096677],"study_design_scores_gemma":[0.0004283616,0.0001017853,0.5553108,0.0001268047,0.000008031058,0.0001997191,0.0005042378,0.2193244,0.001524271,0.03214493,0.1898517,0.0004749846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432402,0.000262858,0.1102952,0.004518504,0.008055585,0.0006952244,0.0001269152,0.0001219842,0.03268357],"genre_scores_gemma":[0.9972778,0.000003122449,0.0003187105,0.00008900888,0.0001655641,0.00006242678,0.000001508167,0.000009892458,0.002071951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5127107,"threshold_uncertainty_score":0.6587965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06595671675748921,"score_gpt":0.3523310741815645,"score_spread":0.2863743574240753,"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."}}