{"id":"W4236790757","doi":"10.1149/ma2006-02/29/1346","title":"Silicon Microphotonic Waveguide Technology for Sensing, Spectroscopy and Communications","year":2006,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Waveguide; Spectroscopy; Silicon; Optoelectronics; Materials science; Computer science; Physics; Electronic engineering; Engineering; Quantum mechanics","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":[0.0001505009,0.0001250553,0.0001522255,0.00007664378,0.0001228525,0.000040395,0.0001522987,0.000116718,0.000002305919],"category_scores_gemma":[0.00006578014,0.0001320312,0.00003071746,0.00009911841,0.0001053942,0.00004058419,0.00004510659,0.0001737304,0.00001656376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004246594,"about_ca_system_score_gemma":0.00001359663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005959,"about_ca_topic_score_gemma":0.0001283074,"domain_scores_codex":[0.9992604,0.000006416651,0.0002485827,0.0001483736,0.0000503032,0.0002859354],"domain_scores_gemma":[0.9993681,0.0001744824,0.00004395399,0.0003377305,0.0000334752,0.00004230452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002968191,0.00001758633,0.0001188224,0.00006372127,0.0000152372,0.000003100624,0.00002999091,0.003959939,0.9946171,0.000476362,0.000373967,0.0003211993],"study_design_scores_gemma":[0.0002603442,0.00002394054,0.001553037,0.00008000224,0.00002370345,0.00002407171,0.00005472207,0.07509667,0.8916662,0.002877387,0.02814292,0.0001970555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424533,0.001979153,0.00005785679,0.0003577724,0.00009486563,0.0001700216,0.000008158912,0.0003392785,0.1545396],"genre_scores_gemma":[0.957606,0.0001294316,0.04207025,0.00003051434,0.00004780694,0.000008710793,0.00001155527,0.00002803158,0.00006775811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1544718,"threshold_uncertainty_score":0.5384078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00916220490985194,"score_gpt":0.235896709051337,"score_spread":0.226734504141485,"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."}}