{"id":"W3003519997","doi":"10.1364/ao.382844","title":"Temperature self-compensation strain sensor based on cascaded concave-lens-like long-period fiber gratings","year":2020,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"CAST Innovation Foundation; National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Optics; Materials science; Fiber Bragg grating; Fiber optic sensor; Optical fiber; Long-period fiber grating; Lens (geology); PHOSFOS; Photonic-crystal fiber; Graded-index fiber; 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":[0.0002402834,0.000779979,0.0004706725,0.000345294,0.0002176617,0.0003332839,0.001233905,0.0006493565,0.0005653934],"category_scores_gemma":[0.0003612693,0.0003661771,0.0002889046,0.0003619413,0.0003436744,0.0008555774,0.0003708673,0.0004126162,0.0002758311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837174,"about_ca_system_score_gemma":0.0003214914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028037,"about_ca_topic_score_gemma":0.004622363,"domain_scores_codex":[0.9994849,0.00002893201,0.00001635599,0.0001519778,0.0002668622,0.00005090187],"domain_scores_gemma":[0.9996102,0.0000450051,0.0001239204,0.00004073771,0.0001361543,0.00004394936],"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":[0.00008326339,0.00002893403,0.000930235,0.0000669065,0.00001021993,0.00008719656,0.00003352186,0.0008694396,0.9908749,0.0001637235,0.0001931042,0.006658435],"study_design_scores_gemma":[0.00001562212,0.0002304495,0.005035512,0.000006346347,0.00002305664,0.0002696382,0.000028289,0.04116254,0.9518374,0.00004312245,0.001298092,0.00004980709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001048,0.001323214,0.0936223,0.0002313044,0.0001717261,0.00008634776,0.0003211484,0.001198675,0.002940565],"genre_scores_gemma":[0.9264954,0.0003808765,0.07089163,0.0000832782,0.00004058419,0.00003023748,0.0001754175,0.00003832012,0.001864382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002028037,"threshold_uncertainty_score":0.004960716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066326439431718,"score_gpt":0.2038206445474666,"score_spread":0.1931573801531495,"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."}}