{"id":"W2808042235","doi":"10.1093/molbev/msy115","title":"Intratumor Heterogeneity and Circulating Tumor Cell Clusters","year":2017,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Biology; Evolutionary biology; Computational biology; Genetics","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":[0.0001212859,0.0001225462,0.0001113039,0.0000226824,0.0003340944,0.00005014714,0.0001060962,0.0001233233,0.000001175706],"category_scores_gemma":[0.0001095578,0.0001257116,0.00003791162,0.00001148521,0.0002284059,0.000004148501,0.0002185427,0.00006853414,0.000001762824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001280985,"about_ca_system_score_gemma":0.0000327518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009834266,"about_ca_topic_score_gemma":0.00009268579,"domain_scores_codex":[0.9992883,0.00003786015,0.0001153629,0.0003351519,0.00002851749,0.0001947643],"domain_scores_gemma":[0.9994646,0.000007247794,0.0001028208,0.0003158343,0.00003171328,0.00007774807],"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":[0.00004132332,0.00001756447,0.03441459,0.00001580202,0.00002259614,0.00000638796,0.00001103406,0.00005034732,0.9633811,0.0008557992,0.0001091108,0.00107442],"study_design_scores_gemma":[0.003562266,0.001119278,0.417422,0.00004880145,0.0001573399,0.0004720952,0.0001131897,0.00342222,0.5590984,0.008285122,0.005069791,0.001229536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981177,0.002282449,0.01560027,0.000198071,0.0001647887,0.000108114,0.00001927096,0.000006185471,0.0004437911],"genre_scores_gemma":[0.9986558,0.0001202369,0.0006680878,0.0003621739,0.0001100509,0.00001020291,0.00004492215,0.00001138603,0.00001715776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4042827,"threshold_uncertainty_score":0.5126372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006429754586032134,"score_gpt":0.2543929529091167,"score_spread":0.2479631983230846,"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."}}