{"id":"W814862262","doi":"","title":"Deformation Measurements of the Retinal Nerve Fiber Layer by Automatic Segmentation on High Frequency Optical Coherent Tomography","year":2014,"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":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Institut National de la Recherche Scientifique","funders":"","keywords":"Nerve fiber layer; Retinal; Deformation (meteorology); Optics; Optical fiber; Layer (electronics); Materials science; Optical coherence tomography; Physics; Ophthalmology; Medicine; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004223301,0.0003690664,0.0002628847,0.001286989,0.0003212337,0.0006184151,0.0003301216,0.0007623205,0.0008116807],"category_scores_gemma":[0.0009665051,0.0003121569,0.0003024998,0.000841849,0.000337238,0.0006467541,0.0003947652,0.0003148981,0.0002440894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551031,"about_ca_system_score_gemma":0.0006353153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003024175,"about_ca_topic_score_gemma":0.004244448,"domain_scores_codex":[0.9996175,0.00007362229,0.00002271569,0.00007425521,0.0001729613,0.00003902994],"domain_scores_gemma":[0.9995227,0.000122665,0.0000803122,0.00008881971,0.0001644511,0.00002112383],"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":[0.0004558121,0.00008902619,0.01182218,0.0001434971,0.00008020357,0.0001217178,0.0002734963,0.01168928,0.832574,0.001007363,0.000622063,0.1411212],"study_design_scores_gemma":[0.00006344344,0.0002774663,0.2105065,0.0000689101,0.0001934153,0.001208012,0.0001963253,0.3522634,0.4309444,0.00173088,0.002392343,0.0001549741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7495689,0.0006759495,0.2464168,0.0001929015,0.00005125811,0.00009326168,0.0003359305,0.000572164,0.002092851],"genre_scores_gemma":[0.8837482,0.0002873454,0.1145997,0.00007101806,0.00002297276,0.00004228035,0.0002482644,0.00007607189,0.0009040961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003024175,"threshold_uncertainty_score":0.006013095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031147085532065,"score_gpt":0.3344736963351183,"score_spread":0.2941622254797976,"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."}}