{"id":"W2509797437","doi":"10.1364/iprsn.2016.jtu4a.31","title":"Reliability of PMMA-based FBG for humidity sensing","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Humidity; Materials science; Computer science; Reliability engineering; Environmental science; Engineering; Meteorology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118743,0.00043159,0.0002080838,0.0004908471,0.0003425259,0.0005056351,0.0006638716,0.0007678406,0.001279584],"category_scores_gemma":[0.00442928,0.000350774,0.0001873567,0.0002425423,0.0004973969,0.0007321492,0.0003200651,0.0004415742,0.0004695558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009123189,"about_ca_system_score_gemma":0.0002796793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934887,"about_ca_topic_score_gemma":0.00234515,"domain_scores_codex":[0.998801,0.0001474698,0.00005188509,0.0002116208,0.0006546577,0.0001333752],"domain_scores_gemma":[0.9957948,0.001646484,0.0005019546,0.0007211572,0.001229657,0.0001059363],"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":[0.0004007952,0.00002221811,0.0038384,0.00006628245,0.00002903065,0.0001098139,0.0001724682,0.001671767,0.9849929,0.0003412018,0.000379658,0.007975516],"study_design_scores_gemma":[0.000009462072,0.0002367741,0.009662854,0.00001384684,0.00004132832,0.0001318274,0.00004763888,0.008547354,0.9800535,0.0001165095,0.001122216,0.00001668005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878836,0.002396258,0.007463559,0.0002400533,0.0002569743,0.00002000569,0.0002327442,0.0002336992,0.001273071],"genre_scores_gemma":[0.9987646,0.0001063699,0.0006583135,0.00001142484,0.00001147997,0.000003683833,0.00004258067,0.00001362859,0.000387946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001934887,"threshold_uncertainty_score":0.006619394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477588172370029,"score_gpt":0.2339638717148392,"score_spread":0.2191879899911389,"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."}}