{"id":"W2508197933","doi":"10.1097/01.cot.0000499605.82705.01","title":"Improving Outcomes for Children With Rare Cancers","year":2016,"lang":"en","type":"article","venue":"Oncology Times","topic":"Tumors and Oncological Cases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Rare disease; Medical diagnosis; Pediatrics; Incidence (geometry); Disease; Internal medicine; Oncology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090096,0.0001190553,0.0003643596,0.00003869293,0.00006870805,0.000004466785,0.00006323549,0.0001065723,0.0005754983],"category_scores_gemma":[0.0001911589,0.00005259711,0.00007823446,0.00004581148,0.0001448452,0.00004560854,0.00002583263,0.00006279576,0.00003019094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678661,"about_ca_system_score_gemma":0.000366848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007240477,"about_ca_topic_score_gemma":0.00008998995,"domain_scores_codex":[0.9992805,0.00001825581,0.0001348783,0.0002271814,0.00007948276,0.0002596983],"domain_scores_gemma":[0.9992993,0.0002979756,0.00008156545,0.0001460047,0.0000630552,0.000112035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007774978,0.0001202214,0.7732786,0.00001731513,0.0000771976,0.00009030263,0.00003685471,6.897202e-7,0.001071772,0.000514645,0.03137964,0.1926353],"study_design_scores_gemma":[0.007805061,0.007443094,0.91066,0.00005259705,0.0002626249,0.0003618552,0.00007813258,0.000008892037,0.00168172,0.0001985854,0.07124118,0.0002062733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708771,0.0002826326,0.001125045,0.01399116,0.0001858941,0.001044748,0.00007247277,0.0001722473,0.01224866],"genre_scores_gemma":[0.9694478,0.00001644456,0.005809692,0.002139807,0.0002504282,0.0001512937,0.00001206093,0.00002008682,0.02215242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192429,"threshold_uncertainty_score":0.6301303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771252930755097,"score_gpt":0.3033625189570378,"score_spread":0.2856499896494868,"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."}}