{"id":"W4221024007","doi":"10.1016/j.isci.2022.104167","title":"The genomic landscape of pediatric renal cell carcinomas","year":2022,"lang":"it","type":"article","venue":"iScience","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Bundesministerium für Gesundheit; Bundesministerium für Bildung und Forschung; Deutschen Konsortium für Translationale Krebsforschung; Deutsches Krebsforschungszentrum","keywords":"Computational biology; Biology; Medicine","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":[0.001048283,0.0002318161,0.0003150685,0.0001758426,0.0009522237,0.00004223814,0.0008313032,0.00004007778,0.0007251796],"category_scores_gemma":[0.00005046861,0.0001607271,0.0001965442,0.0009970093,0.0002955773,0.00005786244,0.0006561569,0.0003990905,0.0001395878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199163,"about_ca_system_score_gemma":0.0009121337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575293,"about_ca_topic_score_gemma":0.000007537747,"domain_scores_codex":[0.9969716,0.0002202631,0.0004958128,0.0005376191,0.00114242,0.0006322703],"domain_scores_gemma":[0.9981868,0.0003303449,0.0003534849,0.0008290127,0.00008738384,0.0002130074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008027411,0.00129169,0.7715054,0.0002661854,0.00010974,0.001066607,0.008213329,0.004063862,0.1742759,0.0007549087,0.03048957,0.007160054],"study_design_scores_gemma":[0.003415474,0.004789221,0.9142458,0.0000207922,0.001021115,0.0002915441,0.004228845,0.003289133,0.03025961,0.0001492864,0.0376925,0.0005966924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931941,0.04788137,0.00001112687,0.0005936842,0.0008989033,0.0004823573,0.00004822835,0.00001596995,0.01812734],"genre_scores_gemma":[0.9871422,0.0007745061,0.00007387357,0.00008371631,0.0004109351,0.00004854269,0.000007297658,0.00002278248,0.01143614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1440163,"threshold_uncertainty_score":0.7940208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966354790444119,"score_gpt":0.2342817634787269,"score_spread":0.2146182155742857,"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."}}