{"id":"W2015031028","doi":"10.1002/j.2334-5837.2001.tb02353.x","title":"5.4.4 Managing Customer Expectations through an Integrated Approach to Risk Management, Program Performance Measures, and Trade Studies","year":2001,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Key (lock); Risk management; Computer science; Work (physics); Risk analysis (engineering); Process management; Engineering; Business; Finance; Computer security","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":[0.01436805,0.000539673,0.0004304412,0.002071118,0.001293172,0.00787087,0.00161158,0.001219026,0.004579495],"category_scores_gemma":[0.01719765,0.0003679689,0.0005700258,0.001150259,0.001084687,0.004536304,0.002194438,0.001736804,0.0008097898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00301669,"about_ca_system_score_gemma":0.003852039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901922,"about_ca_topic_score_gemma":0.0029018,"domain_scores_codex":[0.9886557,0.005393317,0.0006562245,0.0004256224,0.004292047,0.0005771442],"domain_scores_gemma":[0.9715324,0.01057708,0.003770114,0.004249271,0.008393418,0.001477746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004557867,0.002508649,0.04667937,0.0005367771,0.0001436806,0.0005066582,0.005716857,0.05044804,0.01658558,0.1149744,0.0131302,0.748314],"study_design_scores_gemma":[0.0001658553,0.003523749,0.1150042,0.001102008,0.0004270587,0.001512529,0.01196197,0.4329735,0.06898971,0.2210385,0.1427303,0.0005706976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2245748,0.000967629,0.606729,0.01012649,0.0001559879,0.0008623142,0.0002617425,0.002668096,0.153654],"genre_scores_gemma":[0.800324,0.0003368959,0.187578,0.0003197567,0.00007819857,0.0002917929,0.0001509754,0.0001641156,0.01075613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01436805,"threshold_uncertainty_score":0.07598639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103518546671405,"score_gpt":0.28651570266485,"score_spread":0.265480517198136,"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."}}