{"id":"W2071512485","doi":"10.1364/bgpp.2014.bm4d.1","title":"High-End FBG Design and Manufacturing for Industrial Lasers, Sensing and Telecommunications","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TeraXion (Canada)","funders":"","keywords":"Fiber Bragg grating; Laser; Telecommunications; Optical fiber; Passive optical network; Computer science; Optical communication; Electronic engineering; Wavelength-division multiplexing; Materials science; Engineering; Optoelectronics; Optics; Physics","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":[0.0008261077,0.000852496,0.0004123771,0.0007001394,0.0005279145,0.0009989619,0.0008352272,0.001113344,0.001242189],"category_scores_gemma":[0.0005387502,0.0004665318,0.0003305599,0.0003678963,0.0004746782,0.001007029,0.0004403814,0.001105078,0.001859533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213627,"about_ca_system_score_gemma":0.0007255915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008263879,"about_ca_topic_score_gemma":0.001702776,"domain_scores_codex":[0.9994635,0.00004620984,0.00002001345,0.00005359934,0.000371419,0.00004533638],"domain_scores_gemma":[0.9997007,0.00006709227,0.00005213414,0.00004509919,0.0001198168,0.0000153041],"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":[0.00008775876,0.00007769287,0.00070049,0.0005232355,0.00003111509,0.0002131961,0.0001938054,0.008007832,0.6088243,0.02688524,0.003921935,0.3505335],"study_design_scores_gemma":[0.00001483035,0.0002895193,0.001501841,0.0001852852,0.00003634705,0.00116984,0.0000503601,0.02061702,0.8082781,0.009256857,0.1585387,0.00006127348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0175784,0.01450652,0.9489367,0.000601329,0.0005667335,0.0001265274,0.000114764,0.001163644,0.0164053],"genre_scores_gemma":[0.09880281,0.01165574,0.872156,0.0004030683,0.0002809343,0.0000989894,0.000241277,0.0003056778,0.01605553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001242189,"threshold_uncertainty_score":0.008805513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778170158147989,"score_gpt":0.2242085102158713,"score_spread":0.1964268086343914,"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."}}