{"id":"W2626902424","doi":"10.3390/s17081748","title":"On-Chip High-Finesse Fabry-Perot Microcavities for Optical Sensing and Quantum Information","year":2017,"lang":"en","type":"review","venue":"Sensors","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fabry–Pérot interferometer; Finesse; Optoelectronics; Quantum sensor; Microelectromechanical systems; Fabrication; Metrology; Optics; Radius of curvature; Physics; Interferometry; Quantum; Curvature; Quantum information; Wavelength; Quantum network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000124834,0.000370048,0.0009502453,0.0001273029,0.0001364539,0.0001979487,0.0001354918,0.000326543,0.00000481548],"category_scores_gemma":[0.0001665647,0.0003017256,0.0001738817,0.00004072267,0.00008265015,0.0001627884,0.00003527196,0.0002988856,0.00009082747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005412812,"about_ca_system_score_gemma":0.00003528729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001520395,"about_ca_topic_score_gemma":0.000004791533,"domain_scores_codex":[0.9989697,0.00001396883,0.0004102089,0.0001706586,0.0001179054,0.0003175141],"domain_scores_gemma":[0.9990841,0.0003654461,0.0001001816,0.0003090691,0.0000390294,0.0001021898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005852712,0.000003759115,4.115073e-8,0.01582605,0.00008618184,0.000005316398,0.00006665703,0.00009574052,6.129105e-7,0.01141105,0.0001960548,0.9723027],"study_design_scores_gemma":[0.0002059191,0.00004111489,0.000001704367,0.005410758,0.0002793537,0.00004739628,0.00003485482,0.03679412,0.00001188722,0.0005866773,0.9560938,0.0004923572],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002650995,0.9880932,0.001764409,0.00003426151,0.001078097,0.001059195,0.0002173067,0.0002833196,0.004819213],"genre_scores_gemma":[0.004205866,0.9943576,0.0009227034,0.00003093156,0.0001646214,0.00002234546,0.0001358732,0.00006013604,0.00009990043],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9718103,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03919069948321192,"score_gpt":0.2899144299839361,"score_spread":0.2507237305007242,"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."}}