{"id":"W2901171345","doi":"10.1364/ofs.2018.tue69","title":"Measurement of thermal gradients using long period gratings at different levels of ambient refractive indices","year":2018,"lang":"en","type":"article","venue":"26th International Conference on Optical Fiber Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Refractive index; Materials science; Temperature gradient; Thermal; Optics; Period (music); Temperature measurement; Optoelectronics; Physics; Acoustics","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":[0.0002196482,0.0004277372,0.0002607265,0.0001798086,0.0002625873,0.0003626272,0.0002478966,0.000298067,0.0005937223],"category_scores_gemma":[0.0004818343,0.0001622771,0.0001636951,0.0001987007,0.000372407,0.0005696244,0.0002287318,0.0004405302,0.0001102638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430666,"about_ca_system_score_gemma":0.000150292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000932856,"about_ca_topic_score_gemma":0.001748218,"domain_scores_codex":[0.9998091,0.00002280614,0.00001088763,0.00005294138,0.00007375651,0.00003060893],"domain_scores_gemma":[0.999701,0.00009932633,0.00007229929,0.00002887459,0.00007068459,0.00002776474],"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":[0.00005657409,0.00001649126,0.0005371046,0.00002726896,0.000005136631,0.0000175398,0.00002879962,0.0001041938,0.9979558,0.00002446925,0.00001249383,0.001214103],"study_design_scores_gemma":[0.00000296907,0.0001129469,0.003389063,0.000001703516,0.000008601371,0.00004372338,0.0000202913,0.0007968739,0.9954411,0.00001422771,0.0001622998,0.000006328122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913887,0.0004738861,0.007242164,0.00002789537,0.00002861065,0.00001568488,0.0000802854,0.00009417929,0.000648542],"genre_scores_gemma":[0.9888454,0.0003248275,0.01008976,0.00002963456,0.000017604,0.0000180117,0.00007005773,0.00004341537,0.0005612852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000932856,"threshold_uncertainty_score":0.001986206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06167767982642498,"score_gpt":0.2951512911586209,"score_spread":0.2334736113321959,"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."}}