{"id":"W3211607309","doi":"","title":"Our experience with retinopathy of prematurity: a retrospective computerized database review","year":2019,"lang":"en","type":"article","venue":"","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Retinopathy of prematurity; Medicine; Pediatrics; Database; Computer science; Gestational age; Pregnancy","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":[0.002073447,0.0003062662,0.0006864174,0.006261761,0.0009013601,0.002060166,0.000858973,0.0007029746,0.001860497],"category_scores_gemma":[0.01192017,0.0005171623,0.0008287904,0.01006003,0.0005493833,0.002023719,0.00142711,0.0005247043,0.0004034943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215295,"about_ca_system_score_gemma":0.001888087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007210624,"about_ca_topic_score_gemma":0.009529931,"domain_scores_codex":[0.9956131,0.001109238,0.001486894,0.0007330237,0.0006922731,0.0003654597],"domain_scores_gemma":[0.9851472,0.004533688,0.006888656,0.001044969,0.001544202,0.0008413244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005690906,0.00003717279,0.9933679,0.000171898,0.00009441636,0.001491288,0.0004266031,0.00002574164,0.0001347114,0.00007367649,0.0003480284,0.00377179],"study_design_scores_gemma":[0.00001660866,0.0001276581,0.9763082,0.0003061331,0.0002725668,0.0162365,0.003669443,0.0001564986,0.000298202,0.00004988096,0.002533037,0.0000253774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782832,0.01303521,0.0005247975,0.0004105893,0.00001938376,0.0001162874,0.005090824,0.00002145061,0.00249832],"genre_scores_gemma":[0.9887959,0.006516885,0.0005702096,0.0004139213,0.00004034863,0.00007040102,0.003375252,0.00001682369,0.0002002236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007210624,"threshold_uncertainty_score":0.0143373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869017871123254,"score_gpt":0.2988209087185585,"score_spread":0.280130730007326,"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."}}