{"id":"W1849602787","doi":"10.1080/10157891.2000.10462597","title":"Cost Engineering for the Future Business Environment","year":2000,"lang":"en","type":"article","venue":"Journal of Parametrics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Cost estimate; Cost engineering; Risk analysis (engineering); Forcing (mathematics); Competition (biology); Relevant cost; Product cost management; Product (mathematics); Cost accounting; Focus (optics); Computer science; Industrial organization; Business; Systems engineering; 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":[0.002836855,0.0005366959,0.0002699755,0.001470671,0.001043638,0.004582559,0.0007137454,0.001501585,0.009819558],"category_scores_gemma":[0.009726849,0.0001876396,0.0003593817,0.001132921,0.00221278,0.003936839,0.001296639,0.001927564,0.001339559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052514,"about_ca_system_score_gemma":0.001954362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003032979,"about_ca_topic_score_gemma":0.002206392,"domain_scores_codex":[0.9976464,0.0008425736,0.00006300086,0.0001617305,0.001098735,0.0001875266],"domain_scores_gemma":[0.9941704,0.002184814,0.0003582183,0.0004271485,0.002489316,0.0003700516],"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":[0.0000132556,0.00002053659,0.0003475589,0.00004929212,0.000005369781,0.00004157147,0.00004207266,0.009129347,0.0001313789,0.9372586,0.01007271,0.04288827],"study_design_scores_gemma":[0.000005125543,0.00002890771,0.0007268715,0.0001258711,0.000005747261,0.00008222226,0.0002939689,0.01960271,0.0002019675,0.896552,0.08235087,0.00002370376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04934396,0.02067661,0.3711197,0.1591157,0.002732499,0.0001150162,0.0004080473,0.0002283157,0.39626],"genre_scores_gemma":[0.8546723,0.01327506,0.07376189,0.002725081,0.002463657,0.0001938575,0.0002203626,0.0001519833,0.0525357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009819558,"threshold_uncertainty_score":0.03284973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167707620012236,"score_gpt":0.2026764978048657,"score_spread":0.1909994216047434,"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."}}