{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056451,0.0002457531,0.0007882407,0.0003956376,0.0001849616,0.00004510061,0.0001627405,0.0001364514,0.00002794905],"category_scores_gemma":[0.0006633101,0.0002120875,0.0003312659,0.0006229354,0.0001326374,0.0002401522,0.00009492088,0.0001815093,0.000001110316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103175,"about_ca_system_score_gemma":0.0001151386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124095,"about_ca_topic_score_gemma":0.0003654507,"domain_scores_codex":[0.9981691,0.00006902942,0.0005865535,0.0005120332,0.0003684331,0.000294881],"domain_scores_gemma":[0.9974704,0.0001104001,0.0003505936,0.0006401936,0.001343916,0.0000845157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006324087,0.003557374,0.8258544,0.01232801,0.007071449,0.00003623827,0.01003371,0.0132893,0.07183213,0.03623274,0.002002519,0.01143803],"study_design_scores_gemma":[0.001602545,0.0002443428,0.09065977,0.0006708237,0.004259572,0.000004271737,0.003333453,0.8783628,0.01700206,0.003559918,0.0000142753,0.0002861228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811718,0.0002305958,0.1130776,0.001483509,0.00006457153,0.000906198,0.00004980179,0.0001107239,0.002905138],"genre_scores_gemma":[0.8894139,0.00004199138,0.1095087,0.0001885192,0.00004644254,0.00002811603,0.00006736046,0.00002019684,0.0006848444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8650736,"threshold_uncertainty_score":0.8648679,"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."}}