{"id":"W2122161984","doi":"10.1002/mop.25383","title":"Single‐wavelength fiber laser for localized temperature monitoring","year":2010,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fiber Bragg grating; Laser; Spectrum analyzer; Optics; Microwave; Wavelength; Fiber laser; Optical fiber; Fiber optic sensor; Optoelectronics; Single-mode optical fiber; Longitudinal mode; Telecommunications; 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":[0.0002964996,0.0002919117,0.0003012616,0.0004611909,0.0002487205,0.0002526963,0.0005472771,0.00052036,0.001482319],"category_scores_gemma":[0.0003460226,0.0001927899,0.0001785961,0.0002806992,0.0003363951,0.0005290771,0.0002132959,0.0004384111,0.0005366558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005776712,"about_ca_system_score_gemma":0.0003418345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006039983,"about_ca_topic_score_gemma":0.001070709,"domain_scores_codex":[0.9996365,0.00003785629,0.00001114375,0.0001118686,0.000174888,0.00002758283],"domain_scores_gemma":[0.9996396,0.00009913315,0.00008698919,0.00002857963,0.0001175861,0.00002807468],"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":[0.00004596706,0.00002199155,0.0004450573,0.00007394936,0.000007144149,0.00002998108,0.00002742877,0.0004005959,0.9856366,0.0002330583,0.0003035386,0.0127747],"study_design_scores_gemma":[0.00001290234,0.0001650085,0.001364315,0.00001516143,0.00001233674,0.0002696358,0.00002128042,0.01597966,0.9794543,0.000197018,0.002489461,0.00001885159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8203154,0.006879438,0.1643947,0.000715434,0.0002732431,0.00009759793,0.0003954066,0.0009256973,0.006003132],"genre_scores_gemma":[0.9351501,0.001269489,0.06068613,0.0001197304,0.00007775708,0.00005612727,0.000106807,0.00002805709,0.002505753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482319,"threshold_uncertainty_score":0.004958808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006775612172608814,"score_gpt":0.211063248911041,"score_spread":0.2042876367384322,"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."}}