{"id":"W2040990256","doi":"10.2316/journal.206.2013.3.206-3917","title":"A SIMULATED ANNEALING APPROACH FOR INTEGRATING CELL FORMATION WITH MACHINE LAYOUT AND CELL LAYOUT","year":2013,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Simulated annealing; Computer science; Standard cell; Page layout; Integrated circuit; Operating system; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735056,0.0006637264,0.001158584,0.000568194,0.0007162631,0.0007936262,0.00210269,0.001574471,0.003163858],"category_scores_gemma":[0.001889661,0.0009495495,0.001137923,0.0007472656,0.000874329,0.0007528968,0.001078151,0.001117808,0.0005452135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159462,"about_ca_system_score_gemma":0.001473901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00927716,"about_ca_topic_score_gemma":0.01193976,"domain_scores_codex":[0.9996756,0.00009000619,0.00001310076,0.00006172386,0.0001264445,0.00003311143],"domain_scores_gemma":[0.9990557,0.0005534438,0.00006203815,0.0001277029,0.0001554431,0.00004575907],"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":[0.0000191373,0.00002122152,0.0001441379,0.00001758477,0.00002062765,0.0000237031,0.00002920774,0.9841018,0.001873812,0.005181471,0.0002265558,0.008340838],"study_design_scores_gemma":[0.00000434364,0.000008371029,0.00002510235,0.000001170918,0.00000353784,0.000004900869,0.000003276388,0.997971,0.0003864745,0.001329453,0.0002597543,0.000002675146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009923044,0.00006271119,0.986741,0.00006688667,0.00003626252,0.00005420239,0.00003614392,0.0004920627,0.002587677],"genre_scores_gemma":[0.2588584,0.00008817791,0.7370873,0.00009092181,0.00003015385,0.0002771588,0.0001339188,0.0003238419,0.003110087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00927716,"threshold_uncertainty_score":0.01844633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009288013179657531,"score_gpt":0.2117691719021308,"score_spread":0.2024811587224733,"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."}}