{"id":"W1992321481","doi":"10.1115/detc2010-28868","title":"The Main Elements Brought by MOKA (KBE Method) to Promote an Accelerated Technology Transfer Process Between Aerospace and Automotive Industries","year":2010,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Process (computing); Aerospace; Automotive industry; Technology transfer; Computer science; Order (exchange); Manufacturing engineering; Work (physics); Knowledge transfer; Process management; Engineering management; Systems engineering; Knowledge management; Risk analysis (engineering); Engineering; Mechanical engineering; Business; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585554,0.0002347412,0.0002058184,0.000150869,0.000195883,0.00010008,0.0004173479,0.0003610288,0.00003431128],"category_scores_gemma":[0.00002339397,0.0001753744,0.00001351642,0.0006489603,0.0001032366,0.0002313764,0.00008618791,0.0006445859,0.00000661442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002721274,"about_ca_system_score_gemma":0.00001675164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009972471,"about_ca_topic_score_gemma":0.0002497654,"domain_scores_codex":[0.9988707,0.00002254646,0.0002287816,0.0003118639,0.0001335223,0.0004325839],"domain_scores_gemma":[0.9995042,0.0000290812,0.000018059,0.0003063773,0.00005860064,0.00008370128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003429623,0.0001491724,0.0201597,0.0001169979,0.0008471597,0.00001307335,0.001475681,0.0001144736,0.1441696,0.02983567,0.02359561,0.7794886],"study_design_scores_gemma":[0.001195319,0.0004443001,0.00554318,0.00002583516,0.0001149128,0.000005881923,0.002354565,0.002277954,0.8629661,0.005732986,0.1185688,0.0007702246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810837,0.00002972091,0.1108456,0.004756551,0.0001000921,0.0008869845,0.00002445969,0.001479689,0.0007931727],"genre_scores_gemma":[0.9821082,0.00001618413,0.01630782,0.00006863187,0.00002506703,0.0002227202,0.00001867566,0.000039454,0.001193229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7787184,"threshold_uncertainty_score":0.7151561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146531829092625,"score_gpt":0.2903506040764076,"score_spread":0.2788852857854813,"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."}}