{"id":"W2073397169","doi":"10.1103/physrevb.72.161316","title":"Light localization for broadband integrated optics in three dimensions","year":2005,"lang":"en","type":"article","venue":"Physical Review B","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Planar; Broadband; Bandwidth (computing); Optics; Optoelectronics; Photonics; Chip; Wavelength; Lossless compression; Materials science; Physics; Telecommunications; Computer science","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":[0.00005742556,0.00009824314,0.0002287272,0.00001592829,0.00001644115,0.000008808777,0.00007193118,0.00002289285,0.00001451841],"category_scores_gemma":[0.00006441792,0.00007521937,0.00006300722,0.0001935236,0.000009508977,0.00008187582,0.00001143364,0.00008911794,0.00006895696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003695022,"about_ca_system_score_gemma":0.000008392218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002543904,"about_ca_topic_score_gemma":0.00004878209,"domain_scores_codex":[0.9995011,0.000007518883,0.0001670297,0.0001010916,0.00006951246,0.0001537145],"domain_scores_gemma":[0.9997185,0.00006875638,0.00001310162,0.00011534,0.00002875108,0.0000555862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003625374,0.001367052,0.0003621526,0.01264122,0.0002197737,0.000008365434,0.0004905759,0.1154849,0.02125202,0.4900966,0.0151711,0.3428699],"study_design_scores_gemma":[0.0001789351,0.00001936556,0.00007186288,0.0009184362,0.0000358082,4.167609e-7,0.000001644377,0.8812723,0.001948109,0.003417662,0.1120095,0.0001259007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.274341,0.3106338,0.3296123,0.006261748,0.0007896554,0.005997511,0.00007457348,0.001375743,0.07091372],"genre_scores_gemma":[0.98722,0.01067353,0.001313156,0.000536708,0.0001120562,0.00008758046,0.00001760926,0.0000220914,0.00001719782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7657874,"threshold_uncertainty_score":0.3067357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415713686673891,"score_gpt":0.2727153208177355,"score_spread":0.2585581839509966,"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."}}