{"id":"W3049480393","doi":"10.1088/1361-6633/abaf43","title":"Punching holes in light: recent progress in single-shot coded-aperture optical imaging","year":2020,"lang":"en","type":"article","venue":"Reports on Progress in Physics","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Coded aperture; Physics; Single shot; Optics; Spectral imaging; Aperture (computer memory); Computer vision; Computer science; Detector","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001709622,0.0003647792,0.0005156978,0.00009228927,0.00005194153,0.0001148243,0.0002224412,0.0001014424,0.000006428752],"category_scores_gemma":[0.0001125815,0.0003342194,0.00008323586,0.0007674497,0.0003105419,0.0002842287,0.0002466413,0.0009317432,0.000005879153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513105,"about_ca_system_score_gemma":0.00006191016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003365853,"about_ca_topic_score_gemma":0.00000352801,"domain_scores_codex":[0.9974379,0.00004889271,0.0007025677,0.0007850659,0.0003778012,0.0006477601],"domain_scores_gemma":[0.9989816,0.000110468,0.0002687078,0.0004643258,0.00006446484,0.0001104288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005065791,0.000891154,0.4704776,0.00003044937,0.00001278242,0.001126365,0.0003258622,0.0005121269,0.0003176208,0.01662315,0.00002888336,0.5096034],"study_design_scores_gemma":[0.009065735,0.001792034,0.1070599,0.008810374,0.000161801,0.0001662789,0.005477976,0.07228882,0.2475045,0.4817065,0.05741104,0.008554945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613338,0.001830781,0.002581046,0.02195192,0.0003756257,0.001589723,0.00001137763,0.0006669839,0.009658705],"genre_scores_gemma":[0.9904306,0.000007921576,0.009065828,0.0001527258,0.0001915103,0.00006775436,0.00002474978,0.00005475973,0.000004133599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5010484,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666422741474005,"score_gpt":0.2885694199509621,"score_spread":0.2619051925362221,"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."}}