{"id":"W2594343311","doi":"10.1101/113480","title":"Intratumor Heterogeneity and Circulating Tumor Cell Clusters","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Circulating tumor cell; Tumor cells; Cell; Cluster (spacecraft); Tumor microenvironment; Tumor progression; Sampling (signal processing)","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":[0.0005894849,0.0002045184,0.0003710781,0.0003812708,0.000271696,0.0007975583,0.0004032918,0.0002910838,0.001180645],"category_scores_gemma":[0.002988463,0.0001369228,0.0002990233,0.0003113799,0.0006970785,0.000564424,0.0005567792,0.0004934008,0.0001406168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006396981,"about_ca_system_score_gemma":0.000429779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850583,"about_ca_topic_score_gemma":0.0009717178,"domain_scores_codex":[0.9996877,0.00007747932,0.000009542901,0.0001092796,0.00007889933,0.00003718346],"domain_scores_gemma":[0.9982135,0.0009561792,0.0003564873,0.0001689106,0.0001527098,0.0001522308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004305816,0.0001009153,0.08473394,0.0002228131,0.0001458988,0.0004089155,0.0003994149,0.7479323,0.08311861,0.05339412,0.002399708,0.02671286],"study_design_scores_gemma":[0.00003198679,0.0000970473,0.01829809,0.00002087682,0.00004406198,0.0002611466,0.000110261,0.9164846,0.01953143,0.04251378,0.002577238,0.00002958102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928707,0.0005179822,0.1028323,0.0004029249,0.00003240005,0.00002543121,0.0003147499,0.0002026431,0.002800781],"genre_scores_gemma":[0.9920032,0.00007780828,0.007094571,0.00003816744,0.000009234301,0.00001899963,0.0002052358,0.00002916083,0.0005236772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001850583,"threshold_uncertainty_score":0.004641294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077491638195424,"score_gpt":0.2627624901491511,"score_spread":0.2319875737671969,"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."}}