{"id":"W2341517563","doi":"10.1364/ol.41.001865","title":"3D printed long period gratings for optical fibers","year":2016,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cladding (metalworking); Optics; Materials science; Optical fiber; Grating; Cladding mode; Long-period fiber grating; Diffraction grating; Coupling (piping); 3d printed; Optoelectronics; Fiber Bragg grating; Plastic optical fiber; Fiber optic sensor; Polarization-maintaining optical fiber; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007692925,0.0002199435,0.0001972163,0.00006918846,0.00005659844,0.00003684253,0.0001669477,0.00008819111,0.00003346897],"category_scores_gemma":[0.0001353073,0.0001781254,0.00009137468,0.00009179394,0.0001083667,0.0001480423,0.00002945101,0.0001190005,0.00007629431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301533,"about_ca_system_score_gemma":0.000007638987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.804455e-7,"about_ca_topic_score_gemma":0.000001561376,"domain_scores_codex":[0.9988541,0.000005377946,0.000250214,0.0002532514,0.0001551195,0.0004819365],"domain_scores_gemma":[0.9992871,0.000206635,0.00003108497,0.0003102944,0.00004205946,0.0001228226],"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":[0.00005804905,0.00003428071,0.0005859004,0.0001708649,0.0002213137,0.0000860033,0.0007819906,0.03579304,0.9213596,0.003895566,0.004420568,0.0325928],"study_design_scores_gemma":[0.01531365,0.0008003034,0.007046566,0.001443786,0.0005970559,0.0005750029,0.0008708244,0.3988233,0.4835296,0.001154861,0.08216489,0.007680147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5141968,0.00001717762,0.480947,0.002679029,0.0004580864,0.0002850833,0.00001241598,0.0003896686,0.001014771],"genre_scores_gemma":[0.4404212,0.00001962957,0.5575067,0.0007898775,0.0003274747,0.00009261465,0.0000104648,0.0001835829,0.0006484488],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.43783,"threshold_uncertainty_score":0.7263743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008829936838099194,"score_gpt":0.2175423184088482,"score_spread":0.208712381570749,"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."}}