{"id":"W2065304488","doi":"10.1038/ejhg.2010.200","title":"Clinical utility gene card for: Retinoblastoma","year":2010,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Retinoblastoma; Genetics; Report card; Biology; Computational biology; Gene; Psychology","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":[0.001502787,0.0001101081,0.0003145965,0.00005546556,0.00009968421,0.00001027755,0.000149839,0.00006190108,0.00007433773],"category_scores_gemma":[0.0001725662,0.00008706599,0.0003039378,0.00003268665,0.0001767179,0.00001804887,0.00003983945,0.0005188986,0.00004061448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136441,"about_ca_system_score_gemma":0.00008164987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.309539e-7,"about_ca_topic_score_gemma":0.000003167259,"domain_scores_codex":[0.9986423,0.000242305,0.000651864,0.0001385462,0.0001625079,0.0001624853],"domain_scores_gemma":[0.9988149,0.00006084317,0.0003163902,0.0003032514,0.000281008,0.00022359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008676525,0.001252345,0.8509326,0.00004646739,0.0008070559,0.002644589,0.0003026005,0.000002098082,0.0406828,0.00007008507,0.01376511,0.08862662],"study_design_scores_gemma":[0.005029567,0.005848005,0.8966147,0.00002750535,0.0005070482,0.0008817799,0.00002103265,0.00001804592,0.005581389,0.0001437504,0.08522809,0.00009913144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928633,0.0002850485,0.0003766446,0.0001935096,0.001177401,0.0001414553,0.000005434023,0.00001070675,0.004946501],"genre_scores_gemma":[0.9801474,0.00005379437,0.01770487,0.0002268397,0.001317088,3.387638e-7,0.000005763542,0.00003000734,0.0005138485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08852749,"threshold_uncertainty_score":0.3550448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468490503104245,"score_gpt":0.3693718070656186,"score_spread":0.3146869020345761,"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."}}