{"id":"W4200239722","doi":"10.2147/opth.s346145","title":"FAZSeg: A New Software for Quantification of the Foveal Avascular Zone","year":2021,"lang":"en","type":"article","venue":"Clinical ophthalmology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Foveal avascular zone; Foveal; Medicine; Ground truth; Artificial intelligence; Ophthalmology; Software; Segmentation; Optometry; Retinal; Cartography; Computer science; Optical coherence tomography angiography; Geography","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":[0.001618621,0.0009764276,0.0006367135,0.004019029,0.0002923827,0.0009218407,0.0007721419,0.0006617949,0.01095827],"category_scores_gemma":[0.003286477,0.000581311,0.0007244166,0.001207415,0.0003690328,0.0009055117,0.00101875,0.0005273261,0.002737743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399847,"about_ca_system_score_gemma":0.0007120038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662189,"about_ca_topic_score_gemma":0.002417017,"domain_scores_codex":[0.9990838,0.0001647015,0.000129558,0.0002088526,0.0003650946,0.00004803311],"domain_scores_gemma":[0.9984169,0.0007441575,0.0002345965,0.000134958,0.0004101263,0.00005921202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002127798,0.0001349706,0.02623086,0.001246534,0.0003315917,0.0004922304,0.0005778415,0.004388145,0.1138304,0.002937109,0.03764597,0.8100565],"study_design_scores_gemma":[0.0009176127,0.001029067,0.2585634,0.0007930318,0.0008158821,0.01164617,0.000468001,0.2610663,0.246993,0.009998912,0.20701,0.0006986856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1023665,0.003194675,0.7879905,0.0002499015,0.00025423,0.0007051993,0.008708004,0.08754618,0.008984799],"genre_scores_gemma":[0.2171488,0.001149389,0.7562652,0.0002818615,0.0001186599,0.001910599,0.00815365,0.005679108,0.0092927],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01095827,"threshold_uncertainty_score":0.03665912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1669730362996346,"score_gpt":0.4645371901898653,"score_spread":0.2975641538902308,"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."}}