{"id":"W2569941192","doi":"10.1002/lpor.201600157","title":"A true fiber optic refractometer","year":2017,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Refractometer; Optics; Refractometry; Refractive index; Materials science; Optical fiber; Wavelength; Fiber Bragg grating; Graded-index fiber; Normalized frequency (unit); Fiber optic sensor; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001471571,0.001192738,0.0007213923,0.00134028,0.0006978392,0.001419572,0.002418137,0.00133821,0.006838902],"category_scores_gemma":[0.001950555,0.000947064,0.0005172067,0.000897761,0.0007117138,0.002004224,0.001102384,0.001241195,0.004776856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219711,"about_ca_system_score_gemma":0.001344923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565071,"about_ca_topic_score_gemma":0.003095021,"domain_scores_codex":[0.9955477,0.0004094765,0.0002119308,0.001358373,0.002297049,0.0001755461],"domain_scores_gemma":[0.9977095,0.0003872577,0.0002996602,0.0004797946,0.001045194,0.00007854378],"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":[0.0003730511,0.0001112632,0.004349628,0.0006360846,0.0001016372,0.0001950061,0.0002491592,0.002637409,0.8394281,0.007408713,0.008248824,0.1362611],"study_design_scores_gemma":[0.0001044713,0.0006872239,0.008368062,0.0001073784,0.000156173,0.001862099,0.0001534092,0.05986518,0.8421,0.001951803,0.08433893,0.0003052716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508768,0.002713828,0.7966115,0.0007026099,0.001909752,0.0009100217,0.005308006,0.01350225,0.02746515],"genre_scores_gemma":[0.3189417,0.002008281,0.6452954,0.0008141275,0.0002639629,0.0006509682,0.002203129,0.0004322945,0.02939021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006838902,"threshold_uncertainty_score":0.02287835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081719612579771,"score_gpt":0.2842865012362058,"score_spread":0.2634693051104081,"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."}}