{"id":"W1966679761","doi":"10.1002/pbc.23285","title":"Using MS‐MLPA as an efficient screening tool for detecting 9p21 abnormalities in pediatric acute lymphoblastic leukemia","year":2011,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Nova Scotia; Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Multiplex ligation-dependent probe amplification; CDKN2B; CDKN2A; Fluorescence in situ hybridization; Medicine; Oncology; Cytogenetics; Internal medicine; Cancer research; Pathology; Cancer; Biology; Genetics; Gene; Chromosome","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":[0.0006679994,0.0003902324,0.0001964192,0.001162399,0.0001674457,0.0003450138,0.0002506922,0.0003102045,0.0007884263],"category_scores_gemma":[0.001294267,0.000172021,0.0001253143,0.0005107552,0.0004579144,0.000374702,0.0003813214,0.0002678843,0.0002699873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004187,"about_ca_system_score_gemma":0.0001635358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003481028,"about_ca_topic_score_gemma":0.0004998894,"domain_scores_codex":[0.9995196,0.0001579699,0.00004322262,0.00009121442,0.0001340341,0.00005395727],"domain_scores_gemma":[0.9995366,0.0002253036,0.0001136022,0.00004186971,0.00004776593,0.00003487439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001103847,0.0001021796,0.6570891,0.0001593848,0.00008286822,0.001926108,0.000191383,0.0009659056,0.240126,0.0001449495,0.0003422394,0.09776609],"study_design_scores_gemma":[0.00009974498,0.001574407,0.7047635,0.0000385998,0.0002165648,0.02737405,0.0002229519,0.00929089,0.2510742,0.000350561,0.004962126,0.00003233567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952107,0.001158279,0.002957215,0.0000471972,0.000003335953,0.00003102508,0.0000799893,0.00004710025,0.0004651398],"genre_scores_gemma":[0.9945527,0.0006932079,0.004438097,0.00001338038,0.000009270368,0.00002480145,0.0001505438,0.000005747556,0.0001124521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162399,"threshold_uncertainty_score":0.003532767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676915457243034,"score_gpt":0.3149973089979767,"score_spread":0.2682281544255464,"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."}}