{"id":"W3194854110","doi":"10.1364/ol.433988","title":"Widely tunable silicon-fiber laser at 2  µm","year":2021,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Laser linewidth; Materials science; Optics; Fiber laser; Laser; Optoelectronics; Silicon; Fiber; Vernier scale; Optical fiber; Wavelength; Physics","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":[0.0002353718,0.0003341894,0.0002931735,0.0003173689,0.0002228046,0.0002800467,0.0004016006,0.0004347819,0.001111846],"category_scores_gemma":[0.0001723594,0.0001737919,0.0001152433,0.0003171536,0.0004148376,0.0003943569,0.0003387615,0.000491754,0.0003993884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976613,"about_ca_system_score_gemma":0.000378859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000595314,"about_ca_topic_score_gemma":0.002003997,"domain_scores_codex":[0.9996742,0.00002869344,0.00001055008,0.0001041368,0.0001437134,0.00003871031],"domain_scores_gemma":[0.9998171,0.00006305946,0.00004312669,0.00001384321,0.00003762911,0.00002529211],"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":[0.00003409486,0.00001201373,0.0002578616,0.00002233898,0.000004697068,0.00004091559,0.00003224855,0.0001730849,0.9974016,0.0002518577,0.00007486259,0.001694262],"study_design_scores_gemma":[0.00002836834,0.0002063123,0.002951228,0.000007281605,0.00001481348,0.0003046625,0.00003566949,0.004814164,0.9887522,0.0002016735,0.002663643,0.00002001577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673039,0.001369361,0.02395862,0.0001644416,0.00005868616,0.00002528792,0.0002119894,0.0004503153,0.006457498],"genre_scores_gemma":[0.9803684,0.0003174219,0.01699317,0.00007031437,0.00002533527,0.00003714832,0.00009525945,0.00002389749,0.002068988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001111846,"threshold_uncertainty_score":0.003719449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008548294792436425,"score_gpt":0.1994178684282757,"score_spread":0.1908695736358392,"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."}}