{"id":"W6929550438","doi":"10.5061/dryad.f7m0cfz72","title":"Code from: The retinal age gap: An affordable and highly accessible biomarker for population-wide disease screening across the globe","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomarker; Biobank; Fundus (uterus); Disease; Macular degeneration; Precision medicine; Retinal; Kidney disease","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":[0.0008179204,0.001616782,0.000734861,0.001183217,0.0005590341,0.001226498,0.001460686,0.001768223,0.02088673],"category_scores_gemma":[0.003283011,0.0003144847,0.000956104,0.001342268,0.0003835478,0.0007703269,0.001910248,0.001130179,0.02840597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008282662,"about_ca_system_score_gemma":0.001057818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743461,"about_ca_topic_score_gemma":0.04343508,"domain_scores_codex":[0.9995089,0.00007760018,0.00004239126,0.0001639206,0.0001294125,0.00007783662],"domain_scores_gemma":[0.9992654,0.0001674343,0.0001006432,0.0001903171,0.0001774039,0.00009889514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003705711,0.0001445212,0.01348129,0.0009361374,0.0000860768,0.00027859,0.00008164788,0.001278723,0.001389305,0.000469883,0.9470022,0.03448103],"study_design_scores_gemma":[0.0006580309,0.0003198065,0.06972951,0.0008626237,0.000127331,0.001332575,0.0003099985,0.01336627,0.005590239,0.003316681,0.9042488,0.0001380457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01312671,0.0008962865,0.001479632,0.0007600217,0.0002673068,0.000161169,0.9763639,0.002981157,0.003963852],"genre_scores_gemma":[0.009625584,0.0002440598,0.002562481,0.0002189232,0.00003439053,0.0001904439,0.9839744,0.0001081839,0.003041504],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02088673,"threshold_uncertainty_score":0.06987303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136543154055606,"score_gpt":0.4016417593855052,"score_spread":0.2879874439799446,"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."}}