{"id":"W2930650563","doi":"10.1109/lpt.2019.2907576","title":"Precise Distance Measurement by a Single Electro-Optic Frequency Comb","year":2019,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; U.S. Department of Commerce","keywords":"Frequency comb; Distance measurement; Optics; Computer science; Optoelectronics; Materials science; Physics; 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":[0.0003188319,0.0003745402,0.0004151483,0.0007312755,0.0003694553,0.0007014521,0.0009740258,0.0009064375,0.0009549368],"category_scores_gemma":[0.000994991,0.0003771709,0.0001231516,0.0005885673,0.0004925519,0.001486724,0.0009026324,0.0006607195,0.0006141186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700144,"about_ca_system_score_gemma":0.0002408616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511465,"about_ca_topic_score_gemma":0.0003777245,"domain_scores_codex":[0.9993399,0.00005533772,0.00002355487,0.0002051686,0.0003366059,0.00003940104],"domain_scores_gemma":[0.9992682,0.0001632458,0.0002181262,0.000134067,0.0001646872,0.00005155464],"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":[0.0001553661,0.00007933674,0.001905173,0.0001431837,0.00002039422,0.0001400281,0.0001044298,0.0009202077,0.9105238,0.004361919,0.000995793,0.0806503],"study_design_scores_gemma":[0.00006190029,0.0007179727,0.004106738,0.00003198294,0.00004174183,0.001454352,0.00009092854,0.05109456,0.9241793,0.002215369,0.01589487,0.0001103335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5878696,0.00429163,0.389635,0.001023826,0.001098369,0.0001083277,0.0004797838,0.001605612,0.0138879],"genre_scores_gemma":[0.7237666,0.0006378837,0.2721943,0.0001741034,0.0002152274,0.00005770655,0.0001079993,0.00005062669,0.002795521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009740258,"threshold_uncertainty_score":0.003194571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006520436939074174,"score_gpt":0.2007546291388924,"score_spread":0.1942341921998182,"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."}}