{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003905196,0.0009826345,0.0008721399,0.002603012,0.001123835,0.003294546,0.00435057,0.002255217,0.006428842],"category_scores_gemma":[0.006519039,0.001055475,0.002384927,0.002120575,0.001295163,0.007151052,0.002602618,0.001887667,0.001131798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090853,"about_ca_system_score_gemma":0.001572211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003474803,"about_ca_topic_score_gemma":0.002683329,"domain_scores_codex":[0.9979593,0.000571709,0.0002835007,0.000525717,0.0005407989,0.0001189788],"domain_scores_gemma":[0.9971078,0.001021215,0.0003707438,0.00098323,0.0003834104,0.000133612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001430383,0.0001634869,0.002860786,0.0003272793,0.0001514337,0.0007234477,0.001015691,0.2663758,0.004741553,0.6199472,0.002407293,0.101143],"study_design_scores_gemma":[0.00006082033,0.0001513107,0.0003767098,0.0001036362,0.0001183308,0.0004801014,0.0001128197,0.8676971,0.00503555,0.08811234,0.03769308,0.00005828264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003066273,0.00009719914,0.9943787,0.00009009519,0.00002137796,0.00008804951,0.0001068831,0.0005931262,0.001558225],"genre_scores_gemma":[0.1059141,0.0003451104,0.8888081,0.00007127354,0.00002046655,0.0006907275,0.0005488894,0.0001488181,0.003452516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006428842,"threshold_uncertainty_score":0.02150661,"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."}}