{"id":"W3151677613","doi":"","title":"MULTI-WORLD MECHANISM FOR MODELING EVOLUTIONARY DESIGN PROCESS FROM CONCEPTUAL DESIGN TO DETAILED DESIGN","year":2007,"lang":"en","type":"article","venue":"机械工程学报(英文版)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanism (biology); Conceptual design; Computer science; Design process; Process (computing); Generative Design; Ancestor; Engineering; Human–computer interaction; Work in process; Programming language; Epistemology; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001455474,0.0004001006,0.0003488353,0.0003161218,0.0002520584,0.00009340714,0.0004116342,0.000196781,0.0002694056],"category_scores_gemma":[0.000604576,0.0004402008,0.00009694472,0.000524758,0.00003456611,0.0005256893,0.00002498073,0.0002985286,0.0003561275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633161,"about_ca_system_score_gemma":0.0002158409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000486381,"about_ca_topic_score_gemma":0.00005990998,"domain_scores_codex":[0.9976283,0.0001939697,0.000581328,0.0005161887,0.0003485853,0.0007316333],"domain_scores_gemma":[0.9969813,0.001798661,0.00009100378,0.0003818985,0.0003655204,0.0003816562],"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":[0.0005803094,0.0001820519,0.00001974597,0.00003714478,0.0001504704,0.00001208362,0.006214631,0.9402301,0.03853451,0.001522153,0.009576706,0.00294014],"study_design_scores_gemma":[0.001063131,0.0001200888,0.00004963175,0.0000546675,0.00009683397,0.000007023678,0.002241862,0.933744,0.05745265,0.003447916,0.001114067,0.0006081432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003206963,0.0003892705,0.9922251,0.0001547755,0.001023031,0.00199468,0.00002553343,0.0006479784,0.0003326448],"genre_scores_gemma":[0.5022678,0.00001082597,0.4961131,0.000441281,0.0002562923,0.0003081976,0.00002165462,0.00009151614,0.0004893494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4990608,"threshold_uncertainty_score":0.999805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196690739213813,"score_gpt":0.3205242148731917,"score_spread":0.2008551409518104,"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."}}