{"id":"W4389075285","doi":"10.1364/oe.505627","title":"Deep learning-assisted light sheet holography","year":2023,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holography; Optics; Superposition principle; Holographic display; Computer science; Digital holography; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002489748,0.0003824452,0.0003345167,0.0002445947,0.0001464479,0.0005586823,0.0008495062,0.0004903217,0.002009189],"category_scores_gemma":[0.0005275237,0.0002439235,0.0003433784,0.0003283744,0.000377438,0.0007354359,0.000696165,0.0007735316,0.0005039308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124464,"about_ca_system_score_gemma":0.000739543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050954,"about_ca_topic_score_gemma":0.003973293,"domain_scores_codex":[0.9998795,0.00001771918,0.000005080329,0.00001883267,0.00006123639,0.00001758521],"domain_scores_gemma":[0.9998217,0.00005473233,0.0000227953,0.00004969307,0.00003742964,0.00001372892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001960681,0.0001309898,0.0008733283,0.0001592307,0.0001125912,0.0001705606,0.00008444684,0.426346,0.1080072,0.03176852,0.006636196,0.4255148],"study_design_scores_gemma":[0.000007461632,0.0000251479,0.0001798085,0.000004522145,0.000005050344,0.00003077147,0.000003849456,0.9745909,0.019061,0.003968196,0.002115275,0.000008003697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01577003,0.0001965644,0.9794637,0.0002149413,0.00004725088,0.0000296792,0.0001770159,0.001301385,0.002799501],"genre_scores_gemma":[0.4452953,0.0005106002,0.5427704,0.0003043645,0.0000546681,0.00008506991,0.000519206,0.0001371279,0.01032329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002050954,"threshold_uncertainty_score":0.006721377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281696285409396,"score_gpt":0.240055958319354,"score_spread":0.22723899546526,"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."}}