{"id":"W2416202224","doi":"10.1177/1687814016651210","title":"Multi-skeleton model for top-down design of complex products","year":2016,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Skeleton (computer programming); Reuse; Computer science; Process (computing); Design process; Engineering design process; Industrial engineering; Engineering; Mechanical engineering; Work in process","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":[0.001169821,0.001159186,0.0006375654,0.001347683,0.0006514374,0.00197757,0.001633815,0.001200083,0.009705433],"category_scores_gemma":[0.001423685,0.0007205794,0.001864723,0.0009510344,0.0009869429,0.001928866,0.001565345,0.001187643,0.002195414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009586183,"about_ca_system_score_gemma":0.001870768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651628,"about_ca_topic_score_gemma":0.004355182,"domain_scores_codex":[0.9986103,0.0002566974,0.0001144247,0.000231951,0.0006986177,0.00008803454],"domain_scores_gemma":[0.9994448,0.000111154,0.00007592243,0.0001789497,0.0001573328,0.00003176787],"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":[0.0001158389,0.0001173936,0.0012191,0.0005335765,0.00006598109,0.0004935621,0.0007400812,0.5256571,0.02908599,0.2324349,0.0047382,0.2047983],"study_design_scores_gemma":[0.00004859534,0.0002020828,0.0003736386,0.0001140111,0.00008259577,0.0002931613,0.00008816792,0.8709289,0.01011502,0.04798612,0.06971546,0.00005226377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002527753,0.0001136517,0.9891351,0.00005719555,0.00002431444,0.000079365,0.0000581397,0.0008116558,0.00719282],"genre_scores_gemma":[0.1216304,0.000514926,0.8666241,0.00009012674,0.00002151042,0.0004174566,0.0004151927,0.0003313629,0.009954899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009705433,"threshold_uncertainty_score":0.0324679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063351742578026,"score_gpt":0.2404642343110105,"score_spread":0.2098307168852302,"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."}}