{"id":"W4308482809","doi":"10.1063/5.0112574","title":"Axial dispersion-managed liquid-core fibers: A platform for tailored higher-order mode supercontinuum generation","year":2022,"lang":"en","type":"article","venue":"APL Photonics","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; Banting Research Foundation","keywords":"Supercontinuum; Dispersion (optics); Broadband; Ultrashort pulse; Zero-dispersion wavelength; Core (optical fiber); Materials science; Optics; Single-mode optical fiber; Modal dispersion; Optical fiber; Photonic-crystal fiber; Polarization mode dispersion; Fiber; Wavelength; Nonlinear system; Multi-mode optical fiber; Dispersion-shifted fiber; Optoelectronics; Physics; Fiber optic sensor; Plastic optical fiber","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":[0.000119363,0.000240591,0.00008001609,0.0001646851,0.0001658342,0.0002449936,0.0002298624,0.0002290238,0.0004176369],"category_scores_gemma":[0.0001254529,0.00008243095,0.00004846113,0.000136732,0.0002741748,0.0003690211,0.0002903319,0.0003267583,0.000148508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830933,"about_ca_system_score_gemma":0.0002620324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006861365,"about_ca_topic_score_gemma":0.001058064,"domain_scores_codex":[0.999944,0.000006043807,0.000003267779,0.00001168089,0.0000237224,0.00001141111],"domain_scores_gemma":[0.9998887,0.00001763501,0.00005112315,0.000009385449,0.00001575676,0.00001739165],"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":[0.00002836171,0.00001877611,0.00009918611,0.00001891196,0.000001259679,0.00002779061,0.00002393825,0.0005555942,0.9946984,0.0008347718,0.00006374032,0.003629263],"study_design_scores_gemma":[0.0000079458,0.00006069364,0.0001725168,0.000002395259,0.000001489089,0.00002272428,0.000008422423,0.007761429,0.9904588,0.0001113363,0.001386948,0.000005258743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743329,0.0004450456,0.02220621,0.0001308315,0.00002569015,0.00003386785,0.00008506535,0.0002961048,0.002444231],"genre_scores_gemma":[0.9864292,0.0002123143,0.0123468,0.00002439586,0.00000926579,0.00002574758,0.00004087307,0.00002748467,0.0008837841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006861365,"threshold_uncertainty_score":0.002779543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368739166106887,"score_gpt":0.2307670995518986,"score_spread":0.2070797078908298,"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."}}