{"id":"W2275053947","doi":"10.1364/ol.40.005415","title":"Truly random bit generation based on a novel random Brillouin fiber laser","year":2015,"lang":"en","type":"article","venue":"Optics Letters","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Randomness; Random number generation; Optics; Chaotic; Brillouin zone; Fiber laser; Brillouin scattering; Optical fiber; Physics; Laser; Computer science; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255912,0.0002501276,0.0002933273,0.0002234232,0.0002879191,0.0004063284,0.0007695741,0.0003572089,0.0007160765],"category_scores_gemma":[0.0003667577,0.0001749551,0.0001652421,0.0001846671,0.0004691972,0.0005935008,0.0003767528,0.00025482,0.0002229971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662682,"about_ca_system_score_gemma":0.0003497837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002957656,"about_ca_topic_score_gemma":0.0004901757,"domain_scores_codex":[0.9996955,0.0000476514,0.00001267627,0.00006379053,0.0001432376,0.0000371363],"domain_scores_gemma":[0.9997419,0.00006075733,0.00007624181,0.00004493469,0.00004604018,0.00003021621],"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":[0.0003119309,0.0001242537,0.001942081,0.0001719494,0.0000420911,0.0004737842,0.0001455954,0.03324626,0.8470749,0.0864829,0.0007805371,0.0292037],"study_design_scores_gemma":[0.00008884806,0.0002726184,0.0007529213,0.00001253997,0.00002883547,0.0004565351,0.00001736363,0.7492676,0.2387691,0.00523437,0.005026327,0.00007296567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5358004,0.0004765159,0.4557538,0.0005646593,0.0001047199,0.0001350307,0.000158125,0.0008261339,0.006180696],"genre_scores_gemma":[0.8903952,0.0001069806,0.1079384,0.00004839346,0.00002283002,0.00006094121,0.00003853905,0.00002549565,0.001363321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007695741,"threshold_uncertainty_score":0.002657473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156321568192448,"score_gpt":0.2249560130702939,"score_spread":0.2033927973883695,"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."}}