{"id":"W2100707157","doi":"10.1364/oe.20.002626","title":"Figure of merit for photonic differentiators","year":2012,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Institut national de la recherche scientifique","keywords":"Differentiator; Figure of merit; Bandwidth (computing); Optics; Photonics; Computer science; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002725515,0.00009730345,0.0001477216,0.00002562185,0.00003521423,0.000006851826,0.0001630928,0.00004068368,0.0001093386],"category_scores_gemma":[0.000006439505,0.00008895281,0.00007383063,0.00004529646,0.00004770012,0.0001097859,0.00006463686,0.00007030176,0.000006501497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006364959,"about_ca_system_score_gemma":0.000006361782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003458774,"about_ca_topic_score_gemma":7.165499e-8,"domain_scores_codex":[0.9994715,0.000004584172,0.0001258439,0.00009550631,0.00006420045,0.0002383205],"domain_scores_gemma":[0.9995355,0.00005231181,0.00008556661,0.000255339,0.00003465496,0.00003662466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000523692,0.0007785175,0.06853141,0.0001766793,0.0002998226,2.056312e-7,0.0009691683,0.0001852141,0.2278111,0.6833249,0.002346983,0.01552362],"study_design_scores_gemma":[0.0004343671,0.00003564178,0.0004841189,0.00002488395,0.00004469816,8.897371e-8,0.0004913611,0.0002595321,0.9708295,0.01125169,0.01594807,0.0001960779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783325,0.0001772185,0.1142017,0.00003186184,0.0002544377,0.0003052476,0.0001492361,0.00007182512,0.006475986],"genre_scores_gemma":[0.9736833,0.000002378869,0.02561843,0.000003691856,0.00009133127,0.00007895276,0.00002357801,0.00001698233,0.00048136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7430183,"threshold_uncertainty_score":0.362739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349096269392627,"score_gpt":0.2569003191190366,"score_spread":0.2434093564251103,"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."}}