{"id":"W4391021066","doi":"10.1109/smarttechcon57526.2023.10391752","title":"Development and Application of Mechanical Design Engineering Database Based on Simulated Annealing Algorithm","year":2023,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Simulated annealing; Relational database; Data modeling; Engineering design process; Database design; Adaptability; Data redundancy; Data management; Data mining; Database; Algorithm; 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":[0.0006530651,0.00008629326,0.00009406832,0.0001351902,0.00006515843,0.00002793072,0.0001876201,0.00003873162,0.000001711085],"category_scores_gemma":[0.00003694704,0.00008059164,0.00001146939,0.0004216747,0.000004676969,0.00008619431,0.00007336628,0.00007096784,0.00001212177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001458028,"about_ca_system_score_gemma":0.00004502172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001604108,"about_ca_topic_score_gemma":3.400397e-7,"domain_scores_codex":[0.9992365,0.00002438857,0.0001720566,0.0002426459,0.0001655879,0.0001588734],"domain_scores_gemma":[0.9992813,0.0003634685,0.00004036061,0.0002232481,0.00002973749,0.00006189048],"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":[0.000005603356,0.00001716663,0.00003358734,0.00003653461,0.000008554989,0.00000864796,0.0001811744,0.8728163,0.005188853,0.002167709,0.00008343112,0.1194525],"study_design_scores_gemma":[0.0001600267,0.00002860561,0.00006884955,0.00004695842,0.000001730498,6.862727e-7,0.000004438214,0.9634216,0.03587729,0.00004115055,0.0002536761,0.00009491656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003106886,0.000008545147,0.9962987,0.00008701077,0.00003430185,0.0001151023,0.000002054605,0.0003292596,0.00001817087],"genre_scores_gemma":[0.249626,8.461391e-7,0.7502618,0.00005990918,0.000007183385,0.000006799132,0.00002271455,0.000005896068,0.000008793838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2465192,"threshold_uncertainty_score":0.3286432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689438894097681,"score_gpt":0.2447516093267691,"score_spread":0.2178572203857923,"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."}}