{"id":"W4416109947","doi":"10.1021/acsphotonics.5c01909","title":"Can Randomly Structured Metasurfaces Be Used for Quantum Tomography of High-Dimensional Spatial Qudits?","year":2025,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum tomography; Quantum imaging; Quantum; Quantum state; Qubit; Photonics; Photon; Quantum sensor; Quantum information; Quantum technology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002034945,0.0001879847,0.0004792644,0.00009474169,0.0001109943,0.00002786281,0.0001962403,0.00005546105,0.000114782],"category_scores_gemma":[0.00001668438,0.0001594329,0.0002385881,0.0001786202,0.00008010704,0.00004512053,0.00004321621,0.0001119771,7.27173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001067485,"about_ca_system_score_gemma":0.000144838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478206,"about_ca_topic_score_gemma":0.0002176731,"domain_scores_codex":[0.998929,0.00004003204,0.0003305874,0.0002547112,0.0001950147,0.0002506473],"domain_scores_gemma":[0.9991137,0.0002724607,0.0001600967,0.0002819656,0.0001117767,0.00005995643],"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":[0.01039765,0.001663134,0.07161868,0.0009430632,0.01016596,0.00001258403,0.003864148,0.02028114,0.5615634,0.2198169,0.07867328,0.02099999],"study_design_scores_gemma":[0.0331886,0.0002780637,0.006435577,0.0001442701,0.0007769985,6.869939e-7,0.000253887,0.01309006,0.8668592,0.06372308,0.01450987,0.0007397209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946001,0.0001202739,0.002428157,0.0007318575,0.0008295315,0.0005381238,0.0006309908,0.00001932743,0.0001016586],"genre_scores_gemma":[0.9979213,0.000003254524,0.001468498,0.0001377349,0.00004364042,0.00007167127,0.0002013182,0.00001599024,0.0001366031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3052958,"threshold_uncertainty_score":0.6501484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007430044069172255,"score_gpt":0.2361511691151514,"score_spread":0.2287211250459791,"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."}}