{"id":"W4383212984","doi":"10.1126/sciadv.adh1439","title":"Intensity interferometry for holography with quantum and classical light","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"","keywords":"Interferometry; Physics; Holography; Optics; Interference (communication); Wavefront; Reference beam; SIGNAL (programming language); Photon; Intensity (physics); Phase (matter); Amplitude; Light intensity; Signal beam; Holographic interferometry; Quantum imaging; Quantum; Quantum entanglement; Beam (structure); Computer science; Quantum mechanics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018528,0.0004651009,0.0003923388,0.0008965151,0.0004880153,0.001242821,0.0009721863,0.0006517293,0.001967326],"category_scores_gemma":[0.001863383,0.0003873849,0.0004457788,0.001007491,0.003053407,0.002367326,0.001557793,0.00165535,0.0004475041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855049,"about_ca_system_score_gemma":0.0008175717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004781042,"about_ca_topic_score_gemma":0.0005750012,"domain_scores_codex":[0.9990421,0.0001949805,0.00004575334,0.0001610438,0.0004893541,0.00006677559],"domain_scores_gemma":[0.9994005,0.0002092175,0.0001118592,0.0001603058,0.00008727888,0.00003077112],"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":[0.00006873202,0.00005415178,0.0004312342,0.0001477651,0.0000269266,0.00008217035,0.0001543238,0.002335437,0.1048672,0.8357205,0.0007996763,0.05531178],"study_design_scores_gemma":[0.0001207055,0.0004521966,0.003788419,0.0001858087,0.00007952977,0.001455422,0.0002247876,0.1670207,0.2722837,0.4850018,0.06917552,0.000211462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02913212,0.004053843,0.9341842,0.0007775485,0.0003476994,0.0001443232,0.0001140646,0.0004370671,0.03080914],"genre_scores_gemma":[0.3381158,0.003299307,0.6511546,0.0006629135,0.0003900784,0.0003798002,0.0001302813,0.0001414773,0.005725758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001967326,"threshold_uncertainty_score":0.007150352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999202354279126,"score_gpt":0.280089171495329,"score_spread":0.2700971479525377,"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."}}