{"id":"W4295309346","doi":"10.1364/ol.464405","title":"Digital aberration correction enhances field of view in visible-light optical coherence microscopy","year":2022,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Universität Zürich","keywords":"Optics; Wavefront; Microscopy; Point spread function; Optical coherence tomography; Coherence (philosophical gambling strategy); Spherical aberration; Physics; Microscope; Cardinal point; Field of view; Materials science; Lens (geology)","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":[0.00008315996,0.0001096338,0.0001462708,0.0001252926,0.00005535707,0.00004529735,0.0001752427,0.00003833885,0.000114078],"category_scores_gemma":[0.00002443748,0.0001285191,0.00004878327,0.0005585456,0.00004148627,0.0001708089,0.00004204952,0.0002702741,0.0000140033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006027254,"about_ca_system_score_gemma":0.00001210136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005533052,"about_ca_topic_score_gemma":0.000008893811,"domain_scores_codex":[0.9991739,0.00001445261,0.0002780072,0.0001620222,0.000185875,0.0001857747],"domain_scores_gemma":[0.9995845,0.0001241054,0.00003789871,0.0001927363,0.00002029301,0.00004050012],"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":[0.00002599868,0.0001612222,0.002408341,0.00008824181,0.00003365147,0.00000607495,0.0003511079,0.04847134,0.9279902,0.001517507,0.004095906,0.0148504],"study_design_scores_gemma":[0.001145399,0.0007675961,0.005900732,0.0002119298,0.00008079582,0.00003538443,0.0008682312,0.142287,0.8324323,0.0006970392,0.01422437,0.001349179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460157,0.0001345125,0.03224693,0.001304745,0.0007318557,0.0004073373,0.00001777929,0.0001453447,0.01899584],"genre_scores_gemma":[0.9966114,0.00001963512,0.002959724,0.0001650044,0.00002461709,0.0001426204,0.00001757257,0.00001535009,0.00004413086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09555787,"threshold_uncertainty_score":0.5240857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006471189622289721,"score_gpt":0.2362723552985214,"score_spread":0.2298011656762317,"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."}}