{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036663,0.0002389819,0.001038104,0.00006705225,0.00003522876,0.000009448572,0.0001783123,0.00005420537,0.0001523465],"category_scores_gemma":[0.00023589,0.0001589414,0.00010773,0.0002963113,0.00008701765,0.0001554215,0.0001876334,0.0002469491,0.00007171747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257901,"about_ca_system_score_gemma":0.00006627277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002777255,"about_ca_topic_score_gemma":0.000004342892,"domain_scores_codex":[0.9981256,0.00007062635,0.0004263116,0.0004976176,0.0006187862,0.0002610199],"domain_scores_gemma":[0.9982898,0.0000386244,0.0002458229,0.0009465961,0.000365474,0.000113663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004191726,0.00164327,0.7790704,0.05374407,0.0008246078,0.0006021952,0.01098179,5.632798e-7,0.1066194,0.003500096,0.03727513,0.001546808],"study_design_scores_gemma":[0.01742903,0.008866353,0.719529,0.1100883,0.001410198,0.00263311,0.009790769,0.0004095328,0.1196942,0.0002203687,0.007798607,0.002130577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662835,0.008071641,0.0003279287,0.003929595,0.0002327147,0.003049693,0.00002664442,0.0001961599,0.01788212],"genre_scores_gemma":[0.9767593,0.00267191,0.01789267,0.001156639,0.0000563414,0.00004551489,0.00002068174,0.00002624366,0.00137071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05954139,"threshold_uncertainty_score":0.6481443,"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."}}