{"id":"W2612368372","doi":"10.1093/pch/pxx053","title":"Assessment of WINROP algorithm as screening tool for preterm infants in Manitoba to detect retinopathy of prematurity","year":2017,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Winnipeg Regional Health Authority","funders":"","keywords":"Retinopathy of prematurity; Medicine; Pediatrics; Algorithm; Gestational age; Computer science; Pregnancy; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00248686,0.0003022312,0.001211902,0.0003846637,0.0003612313,0.00003227013,0.0004284033,0.0001780062,0.000004889704],"category_scores_gemma":[0.002500826,0.0002886512,0.0002226318,0.0002175391,0.0001045508,0.0001450455,0.0003528935,0.0005142117,0.000002091682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085156,"about_ca_system_score_gemma":0.0004059775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006358569,"about_ca_topic_score_gemma":0.0002378267,"domain_scores_codex":[0.9967563,0.0001338915,0.001158391,0.0005554782,0.000759495,0.0006365079],"domain_scores_gemma":[0.9968274,0.0003226973,0.001157285,0.001080389,0.0003504778,0.0002617358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005033133,0.0003292355,0.8670227,0.004396298,0.00009674714,0.00002301646,0.002162998,0.00001744055,0.000132465,0.00009485221,0.0006834099,0.1245375],"study_design_scores_gemma":[0.002603604,0.001632981,0.9921378,0.001085887,0.00008483297,0.00002546837,0.0001782413,0.0008116412,0.0007416086,0.0002511894,0.0002197883,0.0002269545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763673,0.00268006,0.00729169,0.005037265,0.0006052114,0.005978954,0.0003352049,0.00006704292,0.001637286],"genre_scores_gemma":[0.7863011,0.0009132475,0.2118365,0.0003958842,0.0003914211,0.00008991516,0.00002024165,0.00003851954,0.00001310261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2045449,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673597623421245,"score_gpt":0.3394043786718581,"score_spread":0.3126684024376456,"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."}}