{"id":"W4408645799","doi":"10.3788/ai.2025.50001","title":"3D Gaussian adaptive reconstruction for Fourier light-field microscopy","year":2025,"lang":"en","type":"article","venue":"Advanced imaging.","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Schlieren photography; Photography; Schlieren; Diffraction; Computer graphics (images); Optics; Computer science; Art; Physics; Visual arts","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":[0.0006532739,0.000584039,0.0004162752,0.0006522627,0.0002828136,0.000617468,0.001063802,0.0009089446,0.005771508],"category_scores_gemma":[0.001247203,0.0004395575,0.0005702706,0.0005117145,0.0004983762,0.0006140112,0.00101921,0.001141809,0.001930863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944566,"about_ca_system_score_gemma":0.001208105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896822,"about_ca_topic_score_gemma":0.004740561,"domain_scores_codex":[0.9997182,0.00007328742,0.00001295122,0.00003156053,0.0001429369,0.0000209984],"domain_scores_gemma":[0.9996376,0.0001426016,0.0000327242,0.00006848975,0.00009481596,0.00002363476],"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":[0.0002329283,0.000163466,0.001511629,0.0005398337,0.0001009365,0.000309182,0.0003259813,0.3445025,0.1149871,0.241949,0.01632345,0.279054],"study_design_scores_gemma":[0.000008584605,0.00000725269,0.0001220363,0.000008559427,0.00000197719,0.00006797601,0.000008375961,0.9848108,0.004827557,0.00565328,0.004471217,0.00001234284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001979397,0.00007378354,0.9960225,0.00006817806,0.0000122745,0.00002851247,0.0001069594,0.0005765076,0.001131847],"genre_scores_gemma":[0.04980949,0.0002313696,0.9470442,0.00004992999,0.00001204964,0.0001565325,0.0003525265,0.0002552709,0.002088648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005771508,"threshold_uncertainty_score":0.01930767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004797959057789275,"score_gpt":0.271865786576542,"score_spread":0.2670678275187527,"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."}}