{"id":"W6910565507","doi":"10.5061/dryad.ksn02v706","title":"The ganglioside, GD2, as a circulating tumor biomarker for neuroblastoma","year":2019,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Neuroblastoma; Biomarker; Ganglioneuroblastoma; Pediatric cancer; Ganglioneuroma; Childhood cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005608901,0.0003456726,0.0002131266,0.0006138761,0.0001725972,0.0004145962,0.0002311941,0.0003263098,0.0004603088],"category_scores_gemma":[0.001075595,0.0001133078,0.0001008197,0.0003703395,0.0002967437,0.000260212,0.0003079741,0.0003579912,0.0001502207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116772,"about_ca_system_score_gemma":0.0004307821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733592,"about_ca_topic_score_gemma":0.002302506,"domain_scores_codex":[0.9997633,0.00007349791,0.00002179114,0.00005469792,0.00006372135,0.00002297809],"domain_scores_gemma":[0.9996347,0.00009367638,0.0001095198,0.0000144019,0.00008361584,0.00006404908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001220166,0.00007918082,0.8917054,0.0001825235,0.00009469278,0.0006243435,0.0002041782,0.0006375362,0.07720388,0.0001953881,0.0008072982,0.02704533],"study_design_scores_gemma":[0.0001720913,0.0026525,0.8584668,0.0001890283,0.0003604559,0.01146683,0.0006061952,0.007744757,0.1092577,0.0005682834,0.008472415,0.00004294518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9918146,0.006097701,0.001000389,0.0001185108,0.00003147349,0.00001721861,0.0002106564,0.00003664017,0.0006728418],"genre_scores_gemma":[0.9957418,0.0008410967,0.002814484,0.00007341865,0.00002673498,0.00001906558,0.0002144733,0.000004890394,0.0002641125],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001733592,"threshold_uncertainty_score":0.003712475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362310486240423,"score_gpt":0.3125929625992809,"score_spread":0.2789698577368767,"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."}}