{"id":"W2793975979","doi":"10.1063/1.5027743","title":"Optical nanofiber temperature monitoring via double heterodyne detection","year":2018,"lang":"en","type":"article","venue":"AIP Advances","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Heterodyne detection; Heterodyne (poetry); Nanofiber; Rubidium; Optical fiber; Wavelength; Refractive index; Laser","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":[0.0002074774,0.0004077884,0.0002747094,0.0004081966,0.0002196805,0.0003517559,0.000462857,0.0004603987,0.0005269681],"category_scores_gemma":[0.0003955924,0.000233257,0.0001314614,0.0002440133,0.0002621866,0.0005787602,0.0004518778,0.0004231748,0.0001739767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865466,"about_ca_system_score_gemma":0.0002149068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891658,"about_ca_topic_score_gemma":0.001049772,"domain_scores_codex":[0.9996213,0.00002959872,0.000009357114,0.0001697862,0.0001361403,0.00003378675],"domain_scores_gemma":[0.9997777,0.00006354402,0.00007297354,0.00002500805,0.0000462848,0.00001452374],"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":[0.00004741868,0.00001707996,0.0003670704,0.00002286329,0.000004512955,0.00003444664,0.00002495141,0.000449926,0.9940849,0.0002362966,0.00005411924,0.004656503],"study_design_scores_gemma":[0.00001001608,0.00006018184,0.001413717,0.000003423383,0.000004750822,0.0001045787,0.00001420196,0.01368528,0.9839706,0.0001185935,0.0005995507,0.00001513044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024764,0.0009006067,0.09375561,0.0001022922,0.00008552137,0.00006845677,0.0002237987,0.0003441906,0.002042977],"genre_scores_gemma":[0.9201814,0.0006211422,0.07625253,0.00003491295,0.00003465348,0.00007761897,0.00009506375,0.0000276172,0.002675081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006891658,"threshold_uncertainty_score":0.003530204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007772858201437224,"score_gpt":0.2624553261589235,"score_spread":0.2546824679574863,"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."}}