{"id":"W2735821998","doi":"10.1364/nlo.2017.nm1a.5","title":"Entanglement generation with integrated optical frequency comb sources","year":2017,"lang":"en","type":"article","venue":"Nonlinear Optics","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Resonator; Quantum entanglement; Frequency comb; Optical frequency comb; Spontaneous parametric down-conversion; Optoelectronics; Optics; Physics; Photon; Parametric statistics; Laser; Quantum; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004620439,0.0001509401,0.0001438408,0.00002759964,0.0003013099,0.0001577056,0.0003146313,0.00004985242,0.00008086319],"category_scores_gemma":[0.0000133695,0.0001161344,0.00003381233,0.00003834188,0.0001821157,0.0001826259,0.00009423382,0.0002085207,0.00003722798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401811,"about_ca_system_score_gemma":0.00004275649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004323767,"about_ca_topic_score_gemma":0.00002377209,"domain_scores_codex":[0.9992821,0.000005776234,0.0001543183,0.0002056041,0.0001425454,0.0002096178],"domain_scores_gemma":[0.9991471,0.00001247579,0.0001299718,0.0005619807,0.0001008398,0.0000476645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007341042,0.001214017,0.3992157,0.00003139347,0.0005407308,0.0000771979,0.0005372518,0.002440492,0.0394375,0.4162069,0.0005907041,0.1396347],"study_design_scores_gemma":[0.004729268,0.001228958,0.00537356,0.0001679383,0.0002929602,0.00001477669,0.003510747,0.1049352,0.8471102,0.01525146,0.01556126,0.001823643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92713,0.00001751083,0.06222083,0.0005307161,0.0001161827,0.0001932317,0.00006626329,0.000116644,0.009608653],"genre_scores_gemma":[0.7580697,0.000002941587,0.2412617,0.00001794921,0.0002554994,0.00001553301,0.0001134389,0.00001811436,0.0002451285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8076727,"threshold_uncertainty_score":0.4735822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156043599323121,"score_gpt":0.2717979955270352,"score_spread":0.250237559533804,"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."}}