{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003151571,0.0001233653,0.0003367455,0.001053374,0.000243347,0.0005387042,0.000333589,0.000302087,0.002128855],"category_scores_gemma":[0.001741423,0.0003244572,0.0002459787,0.0007623753,0.0005288591,0.0004631785,0.0005724604,0.0003133663,0.0001914685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271729,"about_ca_system_score_gemma":0.0002299967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286841,"about_ca_topic_score_gemma":0.005126445,"domain_scores_codex":[0.9996454,0.00005468016,0.00001310144,0.0001244209,0.00008443416,0.00007790889],"domain_scores_gemma":[0.9991727,0.0002620299,0.0002765191,0.0001184539,0.00007916371,0.00009100347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001881359,0.00009808176,0.5211191,0.0003776151,0.0006243289,0.002111138,0.001220762,0.01207844,0.3893089,0.005307555,0.001540246,0.06433239],"study_design_scores_gemma":[0.00003049033,0.0001250547,0.9734898,0.00001539676,0.0001521331,0.003083528,0.0006256251,0.005319234,0.01107098,0.004346426,0.001708944,0.00003247158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948292,0.001315767,0.00251181,0.0001595473,0.000006691982,0.000005963887,0.0002080854,0.0000570993,0.0009057564],"genre_scores_gemma":[0.9994199,0.00008470171,0.0002644263,0.00001794313,0.000006790287,0.000002575514,0.00006048274,0.000007925079,0.0001351791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003286841,"threshold_uncertainty_score":0.007121801,"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."}}