{"id":"W2994374939","doi":"","title":"Reproducibility of non-invasive measurement of choroidal volume change and ocular rigidity through automated segmentation of high-speed OCT imaging","year":2015,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"","keywords":"Reproducibility; Ophthalmology; Optical coherence tomography; Rigidity (electromagnetism); Medicine; Segmentation; Biomedical engineering; Materials science; Computer science; Artificial intelligence; Chemistry; Chromatography","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":[0.004236455,0.0001698574,0.0005995686,0.0001789644,0.00007735479,0.000009008279,0.0001712756,0.00004684133,0.0000108828],"category_scores_gemma":[0.003910535,0.000142764,0.00007072095,0.001008542,0.005280471,0.0003945265,0.0001386569,0.0001226124,0.000002028464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580731,"about_ca_system_score_gemma":0.0005463948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329016,"about_ca_topic_score_gemma":0.00000379787,"domain_scores_codex":[0.9971695,0.0002394847,0.0005394696,0.0009068919,0.0008908954,0.0002537802],"domain_scores_gemma":[0.9968356,0.00005428607,0.0005702754,0.0005704346,0.00176625,0.0002031672],"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":[0.00004006138,0.0001246756,0.4041261,0.00008371646,0.00003428342,0.00001909878,0.001874643,0.00001271559,0.5935587,0.000004029298,0.00001673431,0.0001053083],"study_design_scores_gemma":[0.0004464254,0.0004843471,0.4075654,0.0001446431,0.00009881434,0.00006759745,0.0005793179,0.002944969,0.5871292,0.0004681904,4.607403e-7,0.0000706334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984342,0.0002324684,0.00003099928,0.0006208359,0.00008549364,0.0003899498,0.000009640877,0.00002726575,0.0001690955],"genre_scores_gemma":[0.995264,0.000006109244,0.004607258,0.00005200757,0.00003249096,0.000009494,0.000008526026,0.000007665878,0.00001247113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006429471,"threshold_uncertainty_score":0.9974266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139340720402006,"score_gpt":0.3781138226208424,"score_spread":0.2641797505806418,"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."}}