{"id":"W2317815042","doi":"10.1158/1538-7445.am2012-4335","title":"Abstract 4335: The genomic landscape of childhood pre-B acute lymphoblastic leukemia","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; Université de Montréal","funders":"","keywords":"Exome sequencing; Pediatric cancer; Deep sequencing; Cancer; DNA sequencing; Exome; Genotyping; Biology; Leukemia; Genetics; Genome; Copy-number variation; Computational biology; Mutation; Genotype; Gene","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":[0.0001842782,0.0001614488,0.0001947162,0.0005599278,0.0002791141,0.0005711812,0.000127044,0.0002561273,0.003290195],"category_scores_gemma":[0.0005945967,0.0001134544,0.000154697,0.001015399,0.000200925,0.0001852392,0.0003280697,0.000326969,0.0005568422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529928,"about_ca_system_score_gemma":0.0002096507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847619,"about_ca_topic_score_gemma":0.002843438,"domain_scores_codex":[0.999804,0.00003162006,0.00001043688,0.00007242944,0.00005180428,0.00002973593],"domain_scores_gemma":[0.9997842,0.00005480914,0.00006476567,0.00002107389,0.00003704461,0.00003823413],"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":[0.001508579,0.00006780386,0.3966775,0.0004803005,0.000171329,0.001467585,0.000871686,0.002513296,0.5192857,0.002042899,0.003839164,0.0710742],"study_design_scores_gemma":[0.00001555246,0.0001448421,0.961615,0.00003181544,0.00007451135,0.002497901,0.0002874426,0.001516949,0.01617226,0.001153516,0.0164775,0.00001268244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876588,0.001426701,0.002475416,0.0002562632,0.00001467336,0.00001843032,0.005602865,0.00007612262,0.002470696],"genre_scores_gemma":[0.986151,0.0008130932,0.004181799,0.0002472824,0.00002197074,0.00002782548,0.00717518,0.00005823313,0.001323605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003290195,"threshold_uncertainty_score":0.01100683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330096237662816,"score_gpt":0.3574226711832151,"score_spread":0.3244130474169336,"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."}}