{"id":"W1549619413","doi":"10.1038/ng.3315","title":"Spatial genomic heterogeneity within localized, multifocal prostate cancer","year":2015,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":489,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Genome British Columbia; Université Laval; University of Toronto; University Health Network; Toronto General Hospital; BC Cancer Agency; Simon Fraser University; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Cancer Research UK","keywords":"Biology; Prostate cancer; Genomics; Cancer; Genetic heterogeneity; Prostate; Computational biology; Tumor heterogeneity; Genome; Single-nucleotide polymorphism; Genetics; Gene; Genotype; Phenotype","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001892999,0.0002095375,0.0002746425,0.0000795242,0.00006215395,0.00002956403,0.0001270874,0.0003515063,0.00004183726],"category_scores_gemma":[0.00004656595,0.0001541336,0.00008050451,0.0001661713,0.0001372897,0.00002683036,0.00009896728,0.0006700592,0.00006013485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360128,"about_ca_system_score_gemma":0.0007478193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105777,"about_ca_topic_score_gemma":0.0004196673,"domain_scores_codex":[0.9984219,0.00004861562,0.0002259997,0.0003743635,0.000526754,0.0004023461],"domain_scores_gemma":[0.9988163,0.00001300435,0.00006514777,0.0003423279,0.0003130609,0.0004501255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005233601,0.0004709478,0.896707,0.0002282453,0.0005178509,0.0004721022,0.002148943,0.001114525,0.01714685,0.00001511144,0.01085374,0.06509109],"study_design_scores_gemma":[0.03545737,0.00278119,0.2159905,0.0002856152,0.0006649764,0.0002499857,0.0004428987,0.02129632,0.5100701,0.0004785381,0.2111162,0.001166282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711295,0.02558132,0.00009173864,0.001019795,0.0008671087,0.0007709899,0.0000806827,0.0000641311,0.0003947292],"genre_scores_gemma":[0.9937958,0.001049226,0.002211509,0.0006628393,0.000614973,0.00006583421,0.00009659956,0.00004584589,0.001457353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6807165,"threshold_uncertainty_score":0.6285387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187420802986779,"score_gpt":0.3501329320635392,"score_spread":0.3182587240336714,"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."}}