{"id":"W4399996850","doi":"10.23919/lawofs62242.2024.10560840","title":"Distributed Sensing with Random Fiber Laser","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Vetenskapsrådet; Office of Naval Research Global; Knut och Alice Wallenbergs Stiftelse; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Fiber laser; Fiber; Optical fiber; Materials science; Telecommunications; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955014,0.0003493084,0.0003360799,0.000483216,0.0002452432,0.0004349631,0.000688632,0.0005770805,0.000982518],"category_scores_gemma":[0.0008535494,0.0002617679,0.0001926089,0.0003786749,0.0005049327,0.001068678,0.0007318608,0.0005196654,0.0003323545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006591857,"about_ca_system_score_gemma":0.0002035044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553751,"about_ca_topic_score_gemma":0.0008713806,"domain_scores_codex":[0.9989557,0.0001590846,0.0000330109,0.0003203112,0.0004668908,0.00006498382],"domain_scores_gemma":[0.9994608,0.000206013,0.0001238079,0.00007882142,0.0001046629,0.00002600028],"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":[0.0002342334,0.00008124713,0.0007338846,0.0001233216,0.00003003992,0.0001408096,0.00009082679,0.009489788,0.9429599,0.003735663,0.0004006346,0.0419796],"study_design_scores_gemma":[0.0000811001,0.0005440991,0.001138506,0.00002522707,0.00003130083,0.0005835256,0.00004849392,0.1913707,0.7979376,0.002979243,0.00516597,0.00009420023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3979756,0.002109662,0.5914682,0.0004940756,0.0001515698,0.0001519797,0.0001464149,0.001221642,0.006280807],"genre_scores_gemma":[0.8757319,0.0003470366,0.1209979,0.0001470112,0.00004680361,0.00007616098,0.00005199387,0.00003308154,0.002568103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000982518,"threshold_uncertainty_score":0.004782736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00557610637055649,"score_gpt":0.2004872608598663,"score_spread":0.1949111544893098,"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."}}