{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003159254,0.0005157477,0.0004342729,0.0006115314,0.0002247211,0.0009133567,0.0006805731,0.0004415283,0.001323102],"category_scores_gemma":[0.001023967,0.0004488033,0.0003137235,0.0005764384,0.0003366024,0.0012002,0.000916291,0.0006582877,0.0003772106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418142,"about_ca_system_score_gemma":0.0006796598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678088,"about_ca_topic_score_gemma":0.003148711,"domain_scores_codex":[0.9996352,0.00003425134,0.00001711917,0.0000786086,0.0002075866,0.00002717931],"domain_scores_gemma":[0.9995251,0.0001397608,0.0001017071,0.00006680049,0.0001266952,0.00003999985],"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":[0.0005561145,0.00009121365,0.003220029,0.0002587865,0.00004976355,0.0001317306,0.0003618934,0.01125079,0.7252007,0.007421883,0.001013495,0.2504435],"study_design_scores_gemma":[0.00004621407,0.0003323798,0.005245288,0.00003479836,0.00005231799,0.000809186,0.0001254512,0.2879212,0.6928735,0.002576163,0.009890513,0.00009298376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1842166,0.000643133,0.8082571,0.000212845,0.00007656496,0.0001205792,0.0002902573,0.001143096,0.005039863],"genre_scores_gemma":[0.3018865,0.000484572,0.6945959,0.0001133784,0.00003124763,0.00003407331,0.0002565964,0.00006841747,0.002529262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001678088,"threshold_uncertainty_score":0.006107807,"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."}}