{"id":"W2188751381","doi":"","title":"Focal Stack Photography: High-Performance Photography with a Conventional Camera","year":2009,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Photography; Stack (abstract data type); Computational photography; Focal length; Shot (pellet); Computer science; Depth of field; High-speed photography; Optics; Computer graphics (images); Process (computing); Field (mathematics); Field of view; Computer vision; Lens (geology); Art; Physics; Image processing; Visual arts; Materials science; Image (mathematics); Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428156,0.0008680823,0.0005180837,0.0007450471,0.0006064782,0.001869725,0.001258953,0.001160837,0.007218227],"category_scores_gemma":[0.0008148778,0.000555477,0.0004114072,0.0007719123,0.001049349,0.003195466,0.001066295,0.00113637,0.001966251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008026746,"about_ca_system_score_gemma":0.0004185648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515935,"about_ca_topic_score_gemma":0.001827025,"domain_scores_codex":[0.999531,0.0000531948,0.00001466822,0.00008961155,0.0002527669,0.00005883834],"domain_scores_gemma":[0.9996922,0.00008598444,0.00004434186,0.00007159317,0.00007676938,0.00002921096],"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":[0.0005050075,0.0001203633,0.001354296,0.0007455128,0.00007784526,0.0009974928,0.000511764,0.004534313,0.7145897,0.08080336,0.01533766,0.1804228],"study_design_scores_gemma":[0.00009464423,0.001060057,0.005999456,0.000207467,0.0001578859,0.006979188,0.0004003175,0.06288354,0.7591467,0.02995386,0.1328767,0.0002401242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08472595,0.005387949,0.8468339,0.001253136,0.0006020769,0.0002252682,0.0002119831,0.002913007,0.05784671],"genre_scores_gemma":[0.3118931,0.004067427,0.6629617,0.0005074427,0.0003987744,0.0001265644,0.0002119412,0.0003853441,0.01944772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007218227,"threshold_uncertainty_score":0.02414733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005352541429648527,"score_gpt":0.2056413499588734,"score_spread":0.2002888085292249,"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."}}