{"id":"W2581242911","doi":"10.1103/physrevb.95.161108","title":"Custom-tailored spatial mode sorting by controlled random scattering","year":2017,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Photonics; Coherence (philosophical gambling strategy); Quantum information; Information transfer; Quantum; Scattering; Quantum entanglement; ENCODE; Sorting; Physics; Theoretical computer science; Optics; Algorithm; Telecommunications; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007387716,0.0008956853,0.003846287,0.00003843855,0.0007685373,0.0003071507,0.001346448,0.00004669102,0.0002967009],"category_scores_gemma":[0.0006295459,0.000675948,0.002053115,0.0001636737,0.0003356528,0.0005669872,0.0003977886,0.0007638955,0.0008027764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000562441,"about_ca_system_score_gemma":0.00009323731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003859328,"about_ca_topic_score_gemma":0.000004954633,"domain_scores_codex":[0.9954776,0.0003829447,0.001246533,0.001057665,0.0007778548,0.001057379],"domain_scores_gemma":[0.9953769,0.0005709121,0.001417657,0.001839614,0.0001985909,0.0005963398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002032886,0.005175828,0.007956604,0.0147065,0.00236609,0.00004704468,0.0004891502,0.0001097005,0.141631,0.0606759,0.1345759,0.6302334],"study_design_scores_gemma":[0.1228741,0.001287858,0.00330318,0.1015356,0.01352634,0.00001949967,0.00008436487,0.2786207,0.05063298,0.2343179,0.1819391,0.01185825],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468451,0.03373433,0.06296159,0.01417502,0.001315022,0.009538669,0.000293221,0.0003564194,0.03078061],"genre_scores_gemma":[0.9854557,0.00858975,0.00006251192,0.00165938,0.002734357,0.0009804198,0.0001453094,0.0001100176,0.0002625414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6183751,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205482283103335,"score_gpt":0.3522976850556973,"score_spread":0.3402428622246639,"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."}}