{"id":"W2599423351","doi":"10.5539/emr.v6n1p68","title":"Measuring Perceived Risk of Pitfalls Associated with Systems Engineering Tradeoff Analyses","year":2017,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Engineering; Process (computing); Data acquisition; Engineering management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001383036,0.0003329584,0.0004379922,0.001023443,0.0002944472,0.0002632714,0.001101405,0.0001397255,0.00001884551],"category_scores_gemma":[0.0001922889,0.0003187004,0.00009671763,0.000440901,0.00009282176,0.0003343394,0.0003207058,0.0007084046,0.0000190106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567979,"about_ca_system_score_gemma":0.000009401333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007461384,"about_ca_topic_score_gemma":0.00001698257,"domain_scores_codex":[0.9974823,0.00004833308,0.0003729359,0.0003776839,0.0008872309,0.0008315094],"domain_scores_gemma":[0.998365,0.0001434114,0.0001056765,0.001161065,0.0001130156,0.0001118355],"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":[0.00001263463,0.00008315825,0.004672078,0.001031194,0.002550188,0.000120353,0.000118025,0.9770992,0.006929706,0.005911448,0.0006666593,0.0008053384],"study_design_scores_gemma":[0.001231475,0.0001394285,0.374761,0.0009955978,0.0002661466,0.000002497688,0.0003352831,0.6167625,0.002698744,0.0000331492,0.002123127,0.0006509937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402698,0.0007080035,0.04390127,0.00005848132,0.0005786819,0.001173098,0.00001797248,0.001609175,0.01168351],"genre_scores_gemma":[0.9969972,0.0004698292,0.001647405,5.989466e-7,0.00005454024,0.0001739735,0.00001002318,0.00009554101,0.0005508967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700889,"threshold_uncertainty_score":0.9999265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09818148665530864,"score_gpt":0.3220920271596349,"score_spread":0.2239105405043263,"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."}}