{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004817868,0.0004609342,0.0002951352,0.0003671411,0.0003267294,0.0008725097,0.0005536473,0.0003993792,0.002099005],"category_scores_gemma":[0.0006931617,0.000404207,0.0002243789,0.0003719905,0.0008917077,0.0006820955,0.0007842649,0.0006666041,0.0007622387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521974,"about_ca_system_score_gemma":0.0003878823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003015512,"about_ca_topic_score_gemma":0.000869251,"domain_scores_codex":[0.9996862,0.00004861053,0.00002198747,0.00009217412,0.000101038,0.00004985735],"domain_scores_gemma":[0.9994884,0.0001820327,0.0001391611,0.0001036516,0.00005093351,0.00003585863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00016752,0.0001478347,0.000545996,0.0001703077,0.0000203654,0.0001080304,0.0001395477,0.007674629,0.9318684,0.03122187,0.001197471,0.02673799],"study_design_scores_gemma":[0.00009483209,0.0001888414,0.000377826,0.00002099799,0.00001425426,0.0001488435,0.00004561903,0.08670688,0.8956186,0.005280262,0.01143085,0.00007211562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477431,0.001228941,0.2281514,0.0004320874,0.0002920147,0.0003182389,0.000331511,0.001441973,0.02006075],"genre_scores_gemma":[0.9243128,0.0007730128,0.06926956,0.0002098191,0.0000467958,0.0002645437,0.0001528921,0.0001657275,0.004804833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002099005,"threshold_uncertainty_score":0.007021904,"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."}}