{"id":"W2103087217","doi":"10.1109/leos.2007.4382716","title":"Design of a Highly Focused Photonic Crystal Lens Using Boolean Particle Swarm Optimization","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Particle swarm optimization; Lens (geology); Photonic crystal; Computer science; Multi-swarm optimization; Matrix (chemical analysis); Genetic algorithm; Optics; Mathematical optimization; Algorithm; Physics; Materials science; Mathematics","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":[0.0003082957,0.0004929893,0.0004811133,0.0002772239,0.0002444572,0.0006295045,0.0005089634,0.0007435459,0.0007665419],"category_scores_gemma":[0.0004145421,0.0003053169,0.0002826831,0.0002896498,0.0003543438,0.0003456087,0.000332122,0.0003447516,0.0001792815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006827849,"about_ca_system_score_gemma":0.0008416986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326854,"about_ca_topic_score_gemma":0.002509419,"domain_scores_codex":[0.9998562,0.00002708047,0.00000683039,0.00002102166,0.00006616912,0.00002269188],"domain_scores_gemma":[0.999828,0.00006744012,0.00003318008,0.000008263902,0.00004395763,0.00001911133],"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":[0.0001365352,0.0001129213,0.0009624721,0.000190332,0.00008662604,0.0001864589,0.00009833238,0.7470126,0.166267,0.01945681,0.001165758,0.06432416],"study_design_scores_gemma":[0.00002810299,0.00005678877,0.0001260346,0.000003572172,0.000006489412,0.00002147428,0.000009517556,0.9920994,0.006563889,0.0005962792,0.0004802949,0.000008154565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05470952,0.0001672753,0.9405245,0.0001890024,0.00004081166,0.00008422913,0.00004393451,0.0002787096,0.003961967],"genre_scores_gemma":[0.5004299,0.0002002598,0.496558,0.00008934808,0.00001664153,0.0002570122,0.00006463838,0.00004148036,0.002342741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002326854,"threshold_uncertainty_score":0.00495398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525070078279143,"score_gpt":0.2691040753137526,"score_spread":0.2238533745309612,"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."}}