{"id":"W2609889780","doi":"10.1182/blood.v106.11.605.605","title":"Towards the Human Cancer Genome Project: A Sequence-Ready Physical Map of a Follicular Lymphoma Genome.","year":2005,"lang":"en","type":"article","venue":"Blood","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Genome; Biology; Reference genome; Genetics; Cancer genome sequencing; Computational biology; Genome project; Bacterial artificial chromosome; Human genome; Whole genome sequencing; Sequence-tagged site; DNA sequencing; Genomics; Gene; Gene mapping; 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":[0.004393659,0.0006798938,0.0009285136,0.002235723,0.0007388674,0.001486652,0.001481921,0.001233381,0.004602694],"category_scores_gemma":[0.003955437,0.0007434715,0.001112796,0.001958029,0.0004212083,0.0007415313,0.001702571,0.002431141,0.002995898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372447,"about_ca_system_score_gemma":0.004880616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386447,"about_ca_topic_score_gemma":0.01291555,"domain_scores_codex":[0.9993321,0.0001988563,0.00005498231,0.000130479,0.0002124747,0.00007088819],"domain_scores_gemma":[0.9971614,0.0004765445,0.000163578,0.0003019074,0.001106675,0.000789885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00289023,0.0006525712,0.0126335,0.004257933,0.0005776258,0.001971599,0.001293009,0.007824648,0.5420922,0.0159066,0.1325966,0.2773035],"study_design_scores_gemma":[0.001621542,0.001537099,0.08042847,0.0008503014,0.0009882539,0.002297931,0.001095573,0.02161995,0.07376352,0.01953265,0.7960995,0.0001651401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2488664,0.04219047,0.4732125,0.02936219,0.003155717,0.004798442,0.1661766,0.01238131,0.01985638],"genre_scores_gemma":[0.07010391,0.006097384,0.675717,0.002369508,0.0004041072,0.001365493,0.2366979,0.000890287,0.006354493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01386447,"threshold_uncertainty_score":0.02756751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719190514885994,"score_gpt":0.2803632274798984,"score_spread":0.2531713223310385,"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."}}