{"id":"W2057838937","doi":"10.1364/oe.17.005098","title":"Miniature all-glass robust pressure sensor","year":2009,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"FISO Technologies (Canada)","funders":"","keywords":"Materials science; Fiber optic sensor; Pressure sensor; Optical fiber; Fabrication; Optics; Sensitivity (control systems); SIGNAL (programming language); Volume (thermodynamics); Bar (unit); Etching (microfabrication); Fiber optic splitter; Optoelectronics; Fiber; Electronic engineering; Composite material; Computer science; Mechanical engineering; Engineering","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":[0.0003356106,0.000981566,0.0007870515,0.0004038708,0.0002578603,0.0006018038,0.001715283,0.0008409491,0.001378942],"category_scores_gemma":[0.0004605449,0.000568838,0.0004749018,0.0002685842,0.0003661177,0.001066355,0.0007229904,0.0007516655,0.0009870388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000352011,"about_ca_system_score_gemma":0.000330238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00042558,"about_ca_topic_score_gemma":0.0006431141,"domain_scores_codex":[0.9991325,0.00004727558,0.00004040086,0.0002360823,0.0004962281,0.00004767382],"domain_scores_gemma":[0.9996705,0.00005377543,0.00007326135,0.00003621975,0.0001258266,0.00004043184],"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":[0.0000728487,0.00002730362,0.0003231188,0.0001792877,0.00002671538,0.0001364122,0.00003313779,0.0005136696,0.9723036,0.0005165505,0.001029713,0.02483758],"study_design_scores_gemma":[0.00003524873,0.000385234,0.002514082,0.00001106244,0.00009239621,0.001024812,0.00002402611,0.01376489,0.9668887,0.0001786577,0.01500029,0.00008058511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2199607,0.007452345,0.7501115,0.0007289257,0.001455683,0.0006619706,0.001203844,0.008115918,0.01030917],"genre_scores_gemma":[0.4518502,0.001590946,0.5368707,0.0003642177,0.0003565996,0.0002488421,0.0006623191,0.0002230129,0.007833294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001715283,"threshold_uncertainty_score":0.004613042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309616749473814,"score_gpt":0.2248228235445478,"score_spread":0.2117266560498097,"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."}}