{"id":"W977754360","doi":"","title":"Differences in External Limiting Membrane Visualization Between Fourier Domain and Time Domain OCT","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Fourier domain; Limiting; Visualization; Internal limiting membrane; Time domain; Domain (mathematical analysis); Fourier transform; Computer science; Physics; Optics; Mathematics; Engineering; Computer vision; Data mining; Mathematical analysis; Mechanical engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001649748,0.0002412913,0.0003003437,0.0004522013,0.0002460041,0.0001013825,0.0003847576,0.0001427076,0.00006579249],"category_scores_gemma":[0.0002082695,0.0002360582,0.00003199428,0.001908023,0.003139398,0.0005584526,0.0001195986,0.0002950556,0.00003309231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009889821,"about_ca_system_score_gemma":0.00005914224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002762328,"about_ca_topic_score_gemma":0.000005041072,"domain_scores_codex":[0.9978998,0.0001001859,0.0004359465,0.0005046761,0.0003927635,0.000666602],"domain_scores_gemma":[0.9988026,0.000511629,0.00008549722,0.0001732408,0.00007843323,0.0003485685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006129375,0.00003540931,0.3545255,0.00001838094,0.00001091534,0.00004757981,0.001056753,0.00003153293,0.6387077,0.004828167,0.000001773754,0.0007301974],"study_design_scores_gemma":[0.0002861682,0.0001962245,0.8442311,0.00008812657,0.000009922939,0.00006600511,0.0003462219,0.003892232,0.09936322,0.05114062,0.000007675985,0.0003725261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939494,0.00006207424,0.001456113,0.00006124287,0.00005547211,0.000313304,0.000005620066,0.000113906,0.003982902],"genre_scores_gemma":[0.9824743,0.000001981743,0.01735077,0.00002969508,0.00006982327,0.00003507511,0.000004085516,0.00001863022,0.00001568233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5393445,"threshold_uncertainty_score":0.9995735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943574868661874,"score_gpt":0.3073042624015769,"score_spread":0.2778685137149582,"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."}}