{"id":"W2020258144","doi":"10.1002/j.2334-5837.2004.tb00551.x","title":"5.3.2 Creativity in Systems Engineering","year":2004,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Creativity; Originality; Context (archaeology); Computer science; Nesting (process); Knowledge management; Engineering; Engineering ethics; Psychology; Mechanical engineering; Geography; Social 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":[0.0001975672,0.0001356531,0.0001483548,0.0001171228,0.00001508348,0.00004928555,0.0002365586,0.00007673926,0.000007628605],"category_scores_gemma":[0.00004463744,0.0001448504,0.00004106139,0.0001714658,0.000009618778,0.0001278241,0.00003169691,0.0001447921,0.00004711484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383076,"about_ca_system_score_gemma":0.0000087029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231258,"about_ca_topic_score_gemma":0.00001492101,"domain_scores_codex":[0.9992493,0.000007319606,0.0002602852,0.0001462119,0.0001527007,0.0001842198],"domain_scores_gemma":[0.9996455,0.00009530684,0.00002108358,0.0001697304,0.00002999555,0.000038416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001460718,0.00001844921,0.0004162136,0.00002689043,0.00002250835,0.00001138807,0.00008593219,0.9555286,0.03198825,0.01169795,0.00004561573,0.0001567848],"study_design_scores_gemma":[0.002902123,0.00007039394,0.0287063,0.0008998472,0.0000244427,0.0003733487,0.0002778019,0.8343273,0.04409081,0.001965734,0.08479666,0.001565208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846612,0.000387246,0.1992766,0.0004545711,0.003754119,0.000348911,0.00003287287,0.001029269,0.0100552],"genre_scores_gemma":[0.9968301,0.00006415114,0.002594733,0.000008406219,0.000255371,0.0001557099,0.00001117829,0.00002998312,0.0000503478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2121689,"threshold_uncertainty_score":0.5906829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757527732211866,"score_gpt":0.2502900484794162,"score_spread":0.2327147711572976,"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."}}