{"id":"W4243652034","doi":"10.37190/oa210212","title":"Light field camera all-in-focus image acquisition based on angular information","year":2021,"lang":"en","type":"article","venue":"Optica Applicata","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"China Scholarship Council; Shanxi Scholarship Council of China; National Natural Science Foundation of China","keywords":"Computer vision; Focus (optics); Artificial intelligence; Computer science; Light field; Image fusion; Pixel; Field (mathematics); Image quality; Image (mathematics); Optics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006594277,0.0001335699,0.0001321767,0.00009497159,0.00002553443,0.00005095429,0.0001424277,0.00009077033,0.0002877315],"category_scores_gemma":[0.0000372092,0.0001463172,0.00003205633,0.0002320048,0.000009320692,0.0003390427,0.00004449036,0.0001825516,0.0002287176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006955131,"about_ca_system_score_gemma":0.00001245777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004701205,"about_ca_topic_score_gemma":0.00000204332,"domain_scores_codex":[0.9992697,0.00000959048,0.0002173297,0.0001535034,0.0001493347,0.0002005392],"domain_scores_gemma":[0.9992997,0.00005505211,0.00002541194,0.0005158787,0.00004659939,0.00005737565],"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":[0.00003488505,0.0001163714,0.00002364365,0.0001468817,0.00001581034,0.00008814008,0.0001378442,0.002654004,0.8629745,0.003524749,0.02531271,0.1049704],"study_design_scores_gemma":[0.0002446109,0.0000382466,0.00009445065,0.00004035096,0.000006784981,0.000005127346,0.00002283726,0.03928182,0.9155073,0.0006021199,0.04396067,0.0001956803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004530069,0.0001085657,0.9240991,0.00226767,0.00006422024,0.0004409251,0.0000282873,0.0008515338,0.06760965],"genre_scores_gemma":[0.7741416,0.00011758,0.222885,0.00207535,0.00007861678,0.0003563487,0.0002426891,0.00005011421,0.00005271798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7696115,"threshold_uncertainty_score":0.5966641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004559990636151904,"score_gpt":0.2330813955681671,"score_spread":0.2285214049320153,"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."}}