{"id":"W3150969783","doi":"10.82308/10409","title":"Depth from defocus using angle sensitive pixels based on a Transmissive Diffraction Mask","year":2018,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pixel; Optics; Diffraction; Computer vision; Computer science; Remote sensing; Materials science; Physics; Artificial intelligence; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019761,0.0003846724,0.0002918585,0.0001865531,0.000752032,0.00008546813,0.0002323194,0.0002547102,0.00009266858],"category_scores_gemma":[0.0000779143,0.0004098017,0.0001407135,0.0004507811,0.0000942907,0.000493712,0.0000354287,0.0005665906,0.0001474921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004859005,"about_ca_system_score_gemma":0.00001867256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002153634,"about_ca_topic_score_gemma":0.00008459845,"domain_scores_codex":[0.9982548,0.00008444476,0.000349168,0.0005350878,0.0003086945,0.0004677789],"domain_scores_gemma":[0.9988705,0.0001400626,0.0001045446,0.0004963498,0.0001939592,0.0001945692],"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":[0.00009025964,0.0001781853,0.00001996113,0.00005492533,0.00007715535,0.00003644303,0.00001757146,0.002585114,0.7884319,0.00236792,0.00001150669,0.206129],"study_design_scores_gemma":[0.0006073099,0.0001218315,0.0004730423,0.0002440871,0.0001051584,0.00001738401,0.00004364337,0.09908881,0.876067,0.009618313,0.01295326,0.000660108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536675,0.00005131382,0.01134173,0.00004221556,0.0002727416,0.0005275753,0.0007279264,0.001721936,0.0316471],"genre_scores_gemma":[0.9616533,0.00001313395,0.03760513,0.0003301329,0.00009773768,0.00005842758,0.0000505567,0.0001333111,0.00005826862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2054689,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186998492511778,"score_gpt":0.2414756775515524,"score_spread":0.2227758283003746,"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."}}