{"id":"W4281654583","doi":"10.1002/gcc.23073","title":"Quantitative assessment of copy number alterations by liquid biopsy for neuroblastoma","year":2022,"lang":"en","type":"article","venue":"Genes Chromosomes and Cancer","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Swine Innovation Porc; Japan Agency for Medical Research and Development","keywords":"Liquid biopsy; Digital polymerase chain reaction; Neuroblastoma; Loss of heterozygosity; Biopsy; Cell-free fetal DNA; Biology; DNA; Pathology; Copy-number variation; Cancer research; Molecular biology; Gene; Allele; Polymerase chain reaction; Medicine; Cancer; Genetics; Genome; Cell culture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052618,0.0003995308,0.0003766454,0.001318068,0.0002043944,0.000517804,0.0002957622,0.0003834701,0.001814193],"category_scores_gemma":[0.002249591,0.0002274021,0.0001372064,0.0006072286,0.0003851159,0.0003810163,0.0003300869,0.0004126925,0.0005481471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738982,"about_ca_system_score_gemma":0.0001594802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006220295,"about_ca_topic_score_gemma":0.0009149933,"domain_scores_codex":[0.9988738,0.0002743286,0.00007871482,0.000250386,0.0004685557,0.00005425853],"domain_scores_gemma":[0.9990312,0.0005224359,0.0001694939,0.00007204786,0.0001607256,0.00004404113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000462621,0.0000608491,0.04821009,0.00009354684,0.00003177888,0.0001634512,0.000146209,0.0003505667,0.9170129,0.0001167195,0.00009316862,0.03325814],"study_design_scores_gemma":[0.00003769695,0.00102492,0.1472628,0.00005231179,0.0001031588,0.00246353,0.0002649866,0.01705259,0.82846,0.0004905054,0.002731473,0.00005592429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944919,0.003671001,0.09820747,0.0001127845,0.00007289872,0.0002309468,0.0006383,0.0004618548,0.002112836],"genre_scores_gemma":[0.9319822,0.001160426,0.06416902,0.0001021709,0.00002835967,0.0002212673,0.0006048181,0.00005655458,0.001675198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001814193,"threshold_uncertainty_score":0.006069064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678722232312842,"score_gpt":0.3746329996211643,"score_spread":0.3478457772980358,"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."}}