{"id":"W1967518338","doi":"10.1002/j.2334-5837.2005.tb00722.x","title":"6.4.2 Capability Engineering Process within Canadian Defence: Some Engineering Issues","year":2005,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Process (computing); Work (physics); Engineering management; Process management; Engineering; Systems engineering; Work in process; Computer science; Operations management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003303121,0.0002734012,0.0002191234,0.0002021156,0.00005727597,0.00009535442,0.0005248327,0.0001489402,0.00005842956],"category_scores_gemma":[0.0001414976,0.0003004492,0.00007895417,0.0001818672,0.00001870038,0.0003896897,0.00003489555,0.0002848085,0.0001069873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316552,"about_ca_system_score_gemma":0.00004576699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400078,"about_ca_topic_score_gemma":0.001032497,"domain_scores_codex":[0.9985948,0.000008468045,0.0004327754,0.0002843176,0.0002722786,0.0004073527],"domain_scores_gemma":[0.9992495,0.0001004412,0.00003804004,0.0003098123,0.000103201,0.0001990196],"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":[0.000001461931,0.00001235549,0.0002867692,0.00006140005,0.00006013835,0.000004766495,0.0003863598,0.9754626,0.01764724,0.005307598,0.0003907802,0.0003785997],"study_design_scores_gemma":[0.0002247981,0.00001406694,0.001566051,0.0001120082,0.00001551535,0.00007093578,0.00006418563,0.8834406,0.04056555,0.0002599133,0.07306743,0.0005989831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776595,0.0007349267,0.01152223,0.00220986,0.00299681,0.0004727839,0.00008212824,0.001859197,0.002462555],"genre_scores_gemma":[0.9898095,0.00004565498,0.008444523,0.00005933264,0.001216034,0.0002006046,0.00002867258,0.00006873419,0.0001269369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09202197,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130933251282094,"score_gpt":0.2593018971107081,"score_spread":0.2462085719824987,"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."}}