{"id":"W3043359263","doi":"10.1002/lpor.202000128","title":"Induced Photon Correlations Through the Overlap of Two Four‐Wave Mixing Processes in Integrated Cavities","year":2020,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Australian Research Council; Chinese Academy of Sciences; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; European Commission; Bundesministerium für Bildung und Forschung; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Physics; Four-wave mixing; Photon; Mixing (physics); Nonlinear system; Coupling (piping); Parametric statistics; Nonlinear optics; Optics; Quantum; Phase (matter); Phase matching; Quantum optics; Laser; Quantum mechanics; Materials science","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":[0.0005686673,0.0003324908,0.0002539653,0.00027085,0.0002679305,0.0005295471,0.0004960759,0.000476549,0.0007794746],"category_scores_gemma":[0.0006664355,0.0003410851,0.0003026203,0.0003026607,0.0006977106,0.0005833908,0.0007743178,0.0005485947,0.0001237111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146018,"about_ca_system_score_gemma":0.0003710109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369456,"about_ca_topic_score_gemma":0.0001835095,"domain_scores_codex":[0.9995728,0.0000835535,0.00001615074,0.00007078701,0.0001714992,0.00008519764],"domain_scores_gemma":[0.9993368,0.0003419307,0.0001560416,0.00007574299,0.00006391943,0.00002547311],"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":[0.0002057206,0.0001789929,0.001235967,0.0002451114,0.00005029812,0.0004154089,0.0002000684,0.004086664,0.9213452,0.04745068,0.0001651746,0.02442076],"study_design_scores_gemma":[0.00004563921,0.0003145393,0.001927717,0.00001752628,0.00003533677,0.0003618092,0.00005033699,0.02899346,0.9592817,0.005552812,0.003380236,0.00003877053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941105,0.001457767,0.04734384,0.0001365171,0.00005499267,0.00009538988,0.00003885176,0.0001152183,0.009652481],"genre_scores_gemma":[0.9918306,0.0004371137,0.006855875,0.00001812606,0.00001107816,0.00003169494,0.00001177562,0.000007386769,0.0007962121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007794746,"threshold_uncertainty_score":0.003008127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05122650886319938,"score_gpt":0.273962435814203,"score_spread":0.2227359269510036,"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."}}