{"id":"W2038970916","doi":"10.1364/boe.2.001268","title":"In vivo volumetric imaging of chicken retina with ultrahigh-resolution spectral domain optical coherence tomography","year":2011,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retina; Optical coherence tomography; Retinal; Preclinical imaging; Image resolution; Ganglion cell layer; Tomography; Optics; Materials science; Biomedical engineering; In vivo; Ophthalmology; Medicine; Biology; Physics","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":[0.0002813406,0.0003343968,0.0001503974,0.0008976699,0.0001409696,0.0003786088,0.0002314692,0.0003841646,0.0004804719],"category_scores_gemma":[0.0004137531,0.0004047374,0.0001530513,0.0003906921,0.0002647995,0.0003298457,0.0002711133,0.0002660948,0.00009261601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003531309,"about_ca_system_score_gemma":0.000248963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150332,"about_ca_topic_score_gemma":0.003857402,"domain_scores_codex":[0.9998769,0.00002372113,0.0000086449,0.00002796269,0.00004348913,0.00001918884],"domain_scores_gemma":[0.9997132,0.00008725284,0.00007759185,0.00004308792,0.00005932669,0.00001945358],"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":[0.00005871592,0.00001612726,0.0006620614,0.00003978992,0.000007873767,0.00008296033,0.0000446982,0.001535636,0.993775,0.0001611229,0.00004499777,0.003570948],"study_design_scores_gemma":[0.00003549411,0.0003633744,0.05552619,0.00005312143,0.00007072843,0.002865328,0.0002023674,0.06056261,0.8771309,0.0003627432,0.002772013,0.0000552515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715641,0.001122475,0.124684,0.0001226718,0.00001471976,0.0000788828,0.0004288019,0.000328821,0.001655511],"genre_scores_gemma":[0.8436193,0.0009870572,0.1534472,0.00006353522,0.00001204068,0.00007830662,0.0003466129,0.00007443721,0.001371529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002150332,"threshold_uncertainty_score":0.00427568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944944874251635,"score_gpt":0.20948133930175,"score_spread":0.2000318905592337,"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."}}