{"id":"W2160194158","doi":"10.1364/ao.39.003456","title":"Iterative simulated quenching for designing irregular-spot-array generators","year":2000,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Simulated annealing; Diffraction; Iterative and incremental development; Iterative method; Optics; Computer science; Exponential function; Algorithm; Physics; Mathematics; Mathematical analysis","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":[0.0007159379,0.000370527,0.0003963919,0.0002853054,0.00024077,0.0002907183,0.0008726715,0.0004310959,0.001010905],"category_scores_gemma":[0.001906979,0.000289742,0.0002713157,0.0002560687,0.0006272449,0.0004668563,0.0005336893,0.0004204686,0.0002187946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006912572,"about_ca_system_score_gemma":0.0005421953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006411924,"about_ca_topic_score_gemma":0.0009025288,"domain_scores_codex":[0.9996716,0.00008653209,0.00001459576,0.00005569265,0.0001484227,0.00002334497],"domain_scores_gemma":[0.9994897,0.0002585777,0.00006982873,0.00008371715,0.0000743508,0.00002384722],"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":[0.0001163545,0.00006107483,0.0007652217,0.0001137288,0.00002709838,0.0000611425,0.0001843852,0.8562223,0.04680065,0.0271933,0.0006102663,0.06784441],"study_design_scores_gemma":[0.00001252313,0.00002410356,0.00003389313,0.000001592964,0.000002685616,0.0000111741,0.000004147229,0.9893212,0.008003121,0.00169915,0.0008824877,0.000003992142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0284198,0.00006804346,0.9695787,0.00004657402,0.00001208862,0.00004963608,0.00001188371,0.000440276,0.001372966],"genre_scores_gemma":[0.343876,0.00006008349,0.6548928,0.00004588297,0.000006514004,0.0001771157,0.00004301876,0.00013375,0.0007648083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001010905,"threshold_uncertainty_score":0.005015373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009424727962837947,"score_gpt":0.2149444385897436,"score_spread":0.2055197106269057,"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."}}