{"id":"W4385315840","doi":"10.1364/cleo_si.2023.stu4f.6","title":"Generation of Longitudinally Structured Light Sheets Using Deep Neural Holography","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Holography; Superposition principle; Artificial neural network; Optics; Perpendicular; Bessel function; Plane (geometry); Computer science; Computer-generated holography; Artificial intelligence; Physics; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002904056,0.00009845587,0.0001190668,0.0002023351,0.00002690846,0.00001350594,0.000119492,0.00006422832,0.00001745923],"category_scores_gemma":[0.00004068998,0.00008847027,0.00004121175,0.0005699222,0.00005027979,0.0001362026,0.00005018561,0.00009201025,0.000005260261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000148793,"about_ca_system_score_gemma":0.000001667424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001407679,"about_ca_topic_score_gemma":0.000006141502,"domain_scores_codex":[0.9994577,0.000004536528,0.0001469115,0.000119701,0.00008617524,0.0001849669],"domain_scores_gemma":[0.9997264,0.00001594989,0.00001672327,0.0001882401,0.00003194952,0.00002071935],"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":[0.000001241801,0.000003120673,0.001723338,0.0000212488,0.00002451008,0.00001136777,0.00002675883,0.3998651,0.5882972,0.001072854,0.0002019711,0.008751313],"study_design_scores_gemma":[0.00007866609,0.00001242579,0.005500491,0.000003573806,0.00001000502,0.00000531201,0.00002812703,0.8346379,0.158213,0.001377146,0.00002272442,0.0001106348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620681,0.0001262842,0.1349365,0.0001066577,0.0002390314,0.00007263021,0.000001642828,0.001997616,0.0004515934],"genre_scores_gemma":[0.930181,0.00001530994,0.069736,0.000008900824,0.00002654374,0.000002982732,0.000005185627,0.00001871671,0.000005317441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4347728,"threshold_uncertainty_score":0.3607713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504259104636361,"score_gpt":0.2770959208340932,"score_spread":0.2266700103704571,"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."}}