{"id":"W2898305825","doi":"10.1109/jlt.2018.2877925","title":"Optimal Design of Large Mode Area Photonic Crystal Fibers Using a Multiobjective Gray Wolf Optimization Technique","year":2018,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Bend radius; Bent molecular geometry; Materials science; Bending; Optics; Wideband; Wavelength; Computer science; Electronic engineering; Optoelectronics; Engineering; Physics","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":[0.0003135841,0.0002328889,0.000476309,0.0008064552,0.00007306536,0.00001403216,0.0003076315,0.0004077385,0.00007198654],"category_scores_gemma":[0.00006892285,0.0002119084,0.0001252811,0.0006421718,0.0002169266,0.0002183157,0.00007598438,0.000479761,0.00000136908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693444,"about_ca_system_score_gemma":0.0001122649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002252416,"about_ca_topic_score_gemma":0.000003033105,"domain_scores_codex":[0.9985636,0.00002949853,0.0006670417,0.000157492,0.0002063447,0.0003760186],"domain_scores_gemma":[0.9988387,0.00004820194,0.0003727167,0.0002532169,0.0004157578,0.0000714619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000942745,0.00009048243,0.00003353441,0.00002967896,0.0001498493,0.00003686358,0.0004273416,0.4526564,0.5461715,0.0001243398,0.00007668868,0.0001090704],"study_design_scores_gemma":[0.0006078834,0.0005574208,0.000004656735,0.000121749,0.00006358531,0.0006276921,0.0002392979,0.5786812,0.4181708,0.0005247792,0.0002152099,0.0001857836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2217434,0.0001808881,0.7772437,0.00002221873,0.0001901467,0.0002649605,0.00001851997,0.0001391972,0.0001969251],"genre_scores_gemma":[0.7190094,0.00007436355,0.2808081,0.000006669839,0.00004786097,0.00000763438,0.000001221619,0.00003587584,0.000008866405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.497266,"threshold_uncertainty_score":0.8641373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317634713214341,"score_gpt":0.2474517728894609,"score_spread":0.2342754257573175,"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."}}