{"id":"W2900654454","doi":"10.1364/ofs.2018.the4","title":"Commercial Phosphorescence Fiber-Optic Sensor for Long Distance Temperature Measurement","year":2018,"lang":"en","type":"article","venue":"26th International Conference on Optical Fiber Sensors","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Phosphorescence; Optical fiber; Materials science; Fiber optic sensor; Splitter; Optoelectronics; Wavelength; Temperature measurement; Optics; Physics; Fluorescence","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":[0.0005453629,0.0006063871,0.0004034431,0.0005122659,0.0003824142,0.0003609341,0.001057872,0.0007983784,0.003195025],"category_scores_gemma":[0.0004522736,0.0003793075,0.0002914623,0.0004204654,0.0002589463,0.0007751177,0.0003080498,0.0008724295,0.001212236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818947,"about_ca_system_score_gemma":0.0004889174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008403579,"about_ca_topic_score_gemma":0.003031425,"domain_scores_codex":[0.9991575,0.00005620801,0.00002277642,0.0002073531,0.0005141988,0.00004191782],"domain_scores_gemma":[0.9996755,0.00005322802,0.00004708533,0.00003195837,0.00015866,0.00003357952],"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":[0.00005821085,0.00003118124,0.0003426254,0.00008799422,0.000007073485,0.00004099975,0.000009311391,0.00006283927,0.9889138,0.0002095987,0.0004038509,0.009832463],"study_design_scores_gemma":[0.00001564063,0.000184793,0.001188259,0.000008412434,0.00002192342,0.0004618749,0.00001053788,0.00278636,0.9896294,0.00007658757,0.005602468,0.00001355389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4570494,0.01376555,0.5041489,0.0008287523,0.0007995918,0.0005733629,0.001436321,0.004931884,0.01646621],"genre_scores_gemma":[0.6516548,0.003309285,0.3235947,0.0003552899,0.0001174547,0.0003644852,0.001110486,0.0001825423,0.01931103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003195025,"threshold_uncertainty_score":0.01068842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269671199720115,"score_gpt":0.2749158080657373,"score_spread":0.2322190960685361,"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."}}