{"id":"W4385508674","doi":"10.1002/iis2.12932","title":"System Engineering Heuristics for Complex Systems","year":2022,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Heuristics; Computer science; Set (abstract data type); Complex system; Management science; Systems engineering; Artificial intelligence; Engineering","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":[0.009518138,0.001338731,0.0006822522,0.004139154,0.001811719,0.004282314,0.002046791,0.001187435,0.0139462],"category_scores_gemma":[0.04650544,0.0007908729,0.001323523,0.002885742,0.00343865,0.00488516,0.003395189,0.003302134,0.00229417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003452595,"about_ca_system_score_gemma":0.005185989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001767,"about_ca_topic_score_gemma":0.008597462,"domain_scores_codex":[0.9923645,0.004362905,0.0006536164,0.0006182907,0.001649307,0.0003513581],"domain_scores_gemma":[0.9630995,0.02752492,0.001629717,0.003215894,0.003945167,0.000584918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005565422,0.00007818844,0.0009986972,0.0007523853,0.00004319479,0.0002100046,0.001172252,0.06403134,0.0009388051,0.8178863,0.01861635,0.09521689],"study_design_scores_gemma":[0.00005879656,0.00007455867,0.0003694608,0.000654724,0.00004263697,0.0002581146,0.0009537117,0.179555,0.002261657,0.7040827,0.1116341,0.0000545564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004798918,0.0006626773,0.9649779,0.00170833,0.0001620055,0.0005226996,0.000307084,0.0009654772,0.02589498],"genre_scores_gemma":[0.0748383,0.0005151287,0.9191166,0.0005395316,0.00007578803,0.0005380758,0.0004748626,0.0002811922,0.003620483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0139462,"threshold_uncertainty_score":0.05033731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324350303496316,"score_gpt":0.255772061779558,"score_spread":0.2225285587445948,"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."}}