{"id":"W4413128513","doi":"10.12775/qs.2025.44.62962","title":"Retinoblastoma: Evolving Concepts and Future Challenges","year":2025,"lang":"en","type":"article","venue":"Quality in Sport","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital","funders":"","keywords":"Retinoblastoma; Computer science; Data science; Biology; Genetics","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":[0.0003382549,0.00008031844,0.0002596579,0.0000565845,0.00003163488,0.00000276304,0.00002660589,0.0001384226,0.00006096882],"category_scores_gemma":[0.00003279862,0.00006938806,0.00003145692,0.0000818241,0.00007257855,0.00003287382,0.00002283519,0.0001411477,0.000009452778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005177919,"about_ca_system_score_gemma":0.00006468605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003420028,"about_ca_topic_score_gemma":0.0000920122,"domain_scores_codex":[0.9993896,0.00003200771,0.0001849981,0.000191376,0.00007995581,0.0001220291],"domain_scores_gemma":[0.9996847,0.00003488452,0.00003642174,0.0001732582,0.00003086191,0.00003989325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001296714,0.0002023264,0.9672988,0.0001539807,0.00005862299,0.0002022346,0.0008015557,4.342624e-8,0.00002257432,0.01159094,0.0002574049,0.01928181],"study_design_scores_gemma":[0.001556115,0.0000824902,0.9696392,0.00008466075,0.00003865676,0.00001481721,0.001447745,0.000002678478,0.00009601719,0.0004705345,0.02651451,0.00005259986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510313,0.007188361,0.000001586856,0.007742984,0.0001761832,0.0001696275,0.000001756869,0.00003217672,0.03365604],"genre_scores_gemma":[0.9970841,0.0009387827,0.0002442611,0.0004872222,0.00009135616,0.00001137907,0.00001127381,0.000003886139,0.001127731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04605282,"threshold_uncertainty_score":0.2829563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459783675926454,"score_gpt":0.3768418130663529,"score_spread":0.3522439763070884,"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."}}