{"id":"W1998985064","doi":"10.1145/1597990.1598058","title":"Adaptive coded aperture projection","year":2009,"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 British Columbia","funders":"","keywords":"Projector; Projection (relational algebra); Computer vision; Computer science; Aperture (computer memory); Optics; Projection plane; Artificial intelligence; Coded aperture; Depth of field; Adaptive optics; Plane (geometry); Image plane; Compensation (psychology); Computer graphics (images); Physics; Mathematics; Image (mathematics); Algorithm; Acoustics; 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":[0.00001082284,0.00006251514,0.00005441833,0.00003308205,0.00001506075,0.000008285282,0.00005674503,0.00004668228,0.00001246878],"category_scores_gemma":[0.00004343784,0.00005151796,0.00001376639,0.0001102581,0.00001678538,0.0001059339,0.000006380097,0.0001117452,0.00004631917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003230937,"about_ca_system_score_gemma":0.000001540405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.704136e-7,"about_ca_topic_score_gemma":8.739374e-7,"domain_scores_codex":[0.9997253,0.000001411095,0.00004969798,0.00007015816,0.00004166201,0.0001117481],"domain_scores_gemma":[0.9998518,0.00001827796,0.000003563874,0.0001000876,0.00001261209,0.00001368856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002969232,0.0000816031,0.00008055464,0.0000194731,0.00004782948,0.0000260183,0.0001801312,0.02965954,0.1335963,0.167454,0.02720696,0.6416178],"study_design_scores_gemma":[0.0003117209,0.0001780532,0.001146692,0.00002058132,0.000008517955,0.00001951041,0.0002712459,0.8656176,0.06426252,0.05135263,0.0164003,0.0004106044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003728512,0.0001366703,0.8784194,0.001028574,0.00008743524,0.0001439707,0.000001067473,0.007486197,0.1089682],"genre_scores_gemma":[0.861182,0.00001536902,0.1383168,0.0001630503,0.00001395212,0.000004543431,9.07946e-7,0.000007059961,0.0002963262],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8574535,"threshold_uncertainty_score":0.2100842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040768082154233,"score_gpt":0.2232388683132516,"score_spread":0.2128311874917093,"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."}}