{"id":"W2082667272","doi":"10.1364/oe.18.019444","title":"Contrast and resolution analysis of iterative angular domain optical projection tomography","year":2010,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Lawson Health Research Institute","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; London Health Sciences Centre","keywords":"Streak; Optics; Iterative reconstruction; Projection (relational algebra); Position (finance); Contrast (vision); Resolution (logic); Tomography; Image resolution; Angular resolution (graph drawing); Tomographic reconstruction; Computer vision; Computer science; Artificial intelligence; Physics; Algorithm; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009102837,0.0003397046,0.0002382106,0.000805101,0.0002546991,0.0009712082,0.0004473818,0.0004036943,0.0006737355],"category_scores_gemma":[0.006696872,0.0002924655,0.0002622523,0.0004614794,0.0004247441,0.0007100702,0.0004637661,0.000492428,0.0001654682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004767006,"about_ca_system_score_gemma":0.0003633392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007785021,"about_ca_topic_score_gemma":0.000517543,"domain_scores_codex":[0.9995253,0.0001083751,0.00002192794,0.00005884389,0.0002417881,0.00004379631],"domain_scores_gemma":[0.9979848,0.001098036,0.0001887187,0.0001600432,0.0005194118,0.00004900216],"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":[0.001311026,0.0001042526,0.01361493,0.0002218258,0.0001167459,0.0006813497,0.0006850286,0.09131152,0.7792026,0.01384476,0.0003871951,0.09851877],"study_design_scores_gemma":[0.00003866747,0.0002245665,0.01722196,0.00002052512,0.00005822134,0.00198376,0.0001165999,0.5282779,0.4466783,0.00399133,0.001314655,0.00007341619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6308185,0.0004384058,0.3646668,0.0001140443,0.000009143325,0.0000503608,0.0001079897,0.0002793905,0.00351524],"genre_scores_gemma":[0.8980771,0.0001471924,0.1010399,0.00003232454,0.000006112994,0.00002887809,0.0001172296,0.00006261162,0.0004887612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009712082,"threshold_uncertainty_score":0.004814088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007404129330164448,"score_gpt":0.2916349381403359,"score_spread":0.2842308088101714,"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."}}