{"id":"W2048060724","doi":"10.1038/ncomms6871","title":"DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Terry Fox Research Institute; BC Cancer Agency","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Mitacs; Canada Research Chairs; Michael Smith Health Research BC; Canadian Breast Cancer Research Alliance","keywords":"Biology; clone (Java method); Breast cancer; Serial passage; Phenotype; Cancer research; In vivo; Somatic evolution in cancer; DNA; Human breast; Cell culture; Cell growth; Cancer; Genetics; Gene","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":[0.0001515791,0.0001281659,0.0001638459,0.0003290517,0.000100656,0.0002899432,0.0001063217,0.0002069826,0.0006931155],"category_scores_gemma":[0.0003334387,0.000121133,0.0001256013,0.0002576286,0.0001370788,0.0001347497,0.000160081,0.0003776048,0.0003599288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846632,"about_ca_system_score_gemma":0.0001059593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009228121,"about_ca_topic_score_gemma":0.001258738,"domain_scores_codex":[0.9998621,0.0000162062,0.00001330869,0.00004106243,0.00004345425,0.0000237691],"domain_scores_gemma":[0.999577,0.0001834503,0.00005950519,0.00006175975,0.00007129592,0.00004705385],"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":[0.00003404956,0.000009574892,0.001284446,0.000007436906,0.000002491035,0.00002868021,0.00003483945,0.00009578148,0.9971675,0.00002238953,0.00001920255,0.001293669],"study_design_scores_gemma":[0.000006106769,0.0004016621,0.06188763,0.000006244008,0.00002338244,0.0006448484,0.00009350407,0.003404194,0.9318219,0.000068646,0.001633653,0.000008192367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943113,0.0004667619,0.003862867,0.00003199405,0.000007323843,0.00001823178,0.0005421863,0.00009945814,0.0006597356],"genre_scores_gemma":[0.9926646,0.0003891156,0.003893062,0.00002983389,0.000004147414,0.00002917607,0.001516186,0.00004499076,0.001428939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009228121,"threshold_uncertainty_score":0.00231868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275623981029214,"score_gpt":0.2712311594502416,"score_spread":0.2584749196399495,"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."}}