{"id":"W1821417610","doi":"10.1109/imtc.1997.610189","title":"Static calibration of a thermally self-compensated fiber-optic sensor for high-pressure measurements","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Calibration; Scalar (mathematics); Optical fiber; Pressure sensor; Nonlinear system; Materials science; Fiber optic sensor; Pressure measurement; Polynomial; Temperature measurement; Acoustics; Optics; Physics; Mathematics; Mathematical analysis; Thermodynamics; Statistics","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":[0.001105975,0.000529037,0.0006190587,0.0004130022,0.0005465958,0.0005758181,0.001188005,0.000948591,0.0007697223],"category_scores_gemma":[0.002410586,0.0003529833,0.0003465808,0.0005817148,0.0004720901,0.001008757,0.0005564995,0.000801173,0.0004041446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005440016,"about_ca_system_score_gemma":0.0007419056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009599783,"about_ca_topic_score_gemma":0.00128047,"domain_scores_codex":[0.9987226,0.0002758231,0.00003409687,0.0002332522,0.0006934283,0.00004079857],"domain_scores_gemma":[0.9988523,0.0003604389,0.0002005786,0.0001734382,0.0003679247,0.0000453243],"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":[0.0004654226,0.0001434729,0.00526339,0.000296213,0.000113312,0.000237272,0.000221382,0.1242207,0.4589897,0.01133723,0.001826377,0.3968856],"study_design_scores_gemma":[0.00001756126,0.0003231345,0.004237455,0.00001878368,0.00004081115,0.0006319041,0.00002330995,0.8534296,0.1356772,0.002391616,0.003138044,0.00007054125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02840671,0.0001693869,0.9701283,0.00007691725,0.00004911187,0.00002181118,0.00002092969,0.000554238,0.0005726137],"genre_scores_gemma":[0.5425966,0.0002264433,0.4549522,0.00005755762,0.00004908669,0.00006371558,0.00008326437,0.00007339133,0.001897625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001188005,"threshold_uncertainty_score":0.005849063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316757187372616,"score_gpt":0.2326264639496998,"score_spread":0.1994588920759737,"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."}}