{"id":"W4385416335","doi":"10.1364/optica.495041","title":"Diffraction-gated real-time ultrahigh-speed mapping photography","year":2023,"lang":"en","type":"article","venue":"Optica","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Canadian Cancer Society","keywords":"Optics; Diffraction; Photography; Computer science; Laser; Shutter; High-speed photography; Frame rate; Femtosecond; Computational photography; Materials science; Physics; Computer vision; Image processing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006207878,0.0001570425,0.0001893007,0.0001479547,0.0001607151,0.00005028559,0.0001561867,0.00006288166,0.0003296061],"category_scores_gemma":[0.00003155365,0.0001475514,0.0001002562,0.00088315,0.0001264162,0.0001086502,0.00007530311,0.0001892169,0.001457305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001662,"about_ca_system_score_gemma":0.00001121322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007724287,"about_ca_topic_score_gemma":3.144362e-7,"domain_scores_codex":[0.998987,0.00001444748,0.0001821474,0.0002820258,0.0001394409,0.0003949888],"domain_scores_gemma":[0.9992995,0.0001803973,0.00006218508,0.0003375744,0.00004987761,0.00007046042],"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":[0.00004543882,0.0002572536,0.008523673,0.00001872089,0.0003599199,0.00004150132,0.0002723338,0.00107917,0.855848,0.07997742,0.008642307,0.04493431],"study_design_scores_gemma":[0.004805717,0.0005237721,0.1320792,0.0004913316,0.0003272989,0.00001534993,0.005722309,0.1064885,0.2999726,0.276432,0.1685168,0.004625175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119602,0.000004252875,0.003271228,0.0007850518,0.0001749096,0.0002332546,0.00002250293,0.002087177,0.08146141],"genre_scores_gemma":[0.9821531,0.00001480182,0.01607434,0.0000165873,0.0001074897,0.000007034451,0.00006918022,0.00003259269,0.001524909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5558754,"threshold_uncertainty_score":0.9993201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264207791778339,"score_gpt":0.2475936915053678,"score_spread":0.2349516135875844,"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."}}