{"id":"W2012091269","doi":"10.1002/anie.201409376","title":"Nanoparticle‐Mediated Binning and Profiling of Heterogeneous Circulating Tumor Cell Subpopulations","year":2014,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Circulating tumor cell; Phenotype; Population; Profiling (computer programming); Computational biology; Mesenchymal stem cell; Cancer cell; Biology; Cancer research; Cancer; Medicine; Computer science; Gene; Metastasis; Cell biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001361446,0.00008636211,0.0001486219,0.00008452454,0.00004199923,0.00001493753,0.00003686308,0.00003421024,0.0001210368],"category_scores_gemma":[0.0002090829,0.00008464744,0.00005528846,0.00009177817,0.00004084572,0.00009063862,0.00002486855,0.00007380485,0.000004139233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935704,"about_ca_system_score_gemma":0.00002969962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004645506,"about_ca_topic_score_gemma":0.00000472772,"domain_scores_codex":[0.9992235,0.00001097318,0.0002512064,0.0001709584,0.0002300656,0.0001133415],"domain_scores_gemma":[0.9994376,0.00006693171,0.0001458584,0.00009108665,0.0001692008,0.00008935],"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":[0.00003864203,0.00006215223,0.01211039,0.00008617074,0.000030189,0.000005793461,0.00009801473,0.00008646457,0.9864528,0.0000830136,0.0001157215,0.0008306318],"study_design_scores_gemma":[0.0008328228,0.00005694131,0.002722601,0.00009135713,0.00005644159,0.00004580533,0.00005020776,0.002229674,0.9926282,0.000148037,0.001060751,0.0000771461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994539,0.0001201115,0.001885784,0.0003281092,0.000338279,0.0001220638,0.00003368089,0.0000339663,0.002598998],"genre_scores_gemma":[0.9971483,0.0000240449,0.001754098,0.0002263161,0.0004729465,0.0000166024,0.0002918481,0.00001413521,0.00005176221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009387792,"threshold_uncertainty_score":0.3451822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780764710942526,"score_gpt":0.2635172737376029,"score_spread":0.2457096266281777,"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."}}