{"id":"W4407489757","doi":"10.1117/12.3047303","title":"Using an adult retinal image analysis foundation model for retinopathy of prematurity staging: are there benefits?","year":2025,"lang":"en","type":"article","venue":"","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Retinopathy of prematurity; Foundation (evidence); Computer science; Retinal; Medicine; Ophthalmology; History; Biology","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":[0.0008200993,0.001386557,0.0006930464,0.0006205704,0.0002694997,0.0009286879,0.001175844,0.001185321,0.001777897],"category_scores_gemma":[0.002811123,0.0002730643,0.0008594372,0.0003411995,0.0003284721,0.001049755,0.000759621,0.001647142,0.001150514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007694847,"about_ca_system_score_gemma":0.00109066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01453867,"about_ca_topic_score_gemma":0.02163279,"domain_scores_codex":[0.9996048,0.00006654612,0.00002040657,0.0001632049,0.00007613669,0.00006896452],"domain_scores_gemma":[0.9994603,0.000135081,0.00005667667,0.0001407188,0.0001421056,0.00006503449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001348004,0.0007406391,0.05136085,0.0005271372,0.0006756216,0.0009960211,0.0001833308,0.1941982,0.04233121,0.003487613,0.05275452,0.6513968],"study_design_scores_gemma":[0.00006010963,0.0004740814,0.01098226,0.000157255,0.0001833045,0.0006363976,0.00009711612,0.9558214,0.01816433,0.003284151,0.01009402,0.00004560627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6426063,0.01393434,0.2985898,0.004905942,0.001155364,0.0004915346,0.00993768,0.01460758,0.01377157],"genre_scores_gemma":[0.8646494,0.002374106,0.1104003,0.001387765,0.0001961232,0.0001605684,0.01291868,0.0003159259,0.007597087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01453867,"threshold_uncertainty_score":0.02890807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05438259101637017,"score_gpt":0.3473575728911207,"score_spread":0.2929749818747505,"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."}}