{"id":"W4205716916","doi":"10.1364/boe.447882","title":"Volumetric directional optical coherence tomography","year":2022,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Eye Institute; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Research to Prevent Blindness","keywords":"Optical coherence tomography; Retinal; Coherence (philosophical gambling strategy); Tomography; Image processing; Adaptive optics; Preclinical imaging; Optical fiber; Feature (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002380375,0.0002128204,0.0002265466,0.0004791468,0.0002908967,0.00005792747,0.0006055704,0.000106796,0.001380753],"category_scores_gemma":[0.00006510441,0.0002323005,0.0001573262,0.0026105,0.0003469699,0.00009166321,0.0002374551,0.000604732,0.00007753808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009089922,"about_ca_system_score_gemma":0.00003935281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006052823,"about_ca_topic_score_gemma":5.737717e-7,"domain_scores_codex":[0.9978161,0.00004179252,0.0003739276,0.0003490857,0.0009222861,0.000496736],"domain_scores_gemma":[0.998814,0.000263087,0.00003306843,0.000410336,0.0000607561,0.0004187009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002393136,0.007756673,0.01163712,0.0006961859,0.001658288,0.0003699276,0.001078253,0.04519136,0.2846048,0.2154371,0.2348417,0.1964892],"study_design_scores_gemma":[0.002476791,0.001113118,0.01728967,0.00005188056,0.0002391517,0.0002018328,0.0005792686,0.1844002,0.007595769,0.009540748,0.7738196,0.002691995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4444424,0.003932701,0.3788538,0.001671066,0.006785882,0.002645517,0.001368753,0.006959872,0.15334],"genre_scores_gemma":[0.9704007,0.00002691953,0.02822823,0.00007801749,0.0001946496,0.0007826771,0.00008796893,0.00004668392,0.0001541589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5389779,"threshold_uncertainty_score":0.9995321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137281235400189,"score_gpt":0.2256566204608376,"score_spread":0.2142838081068358,"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."}}