{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764079,0.0002836115,0.000317702,0.0004380308,0.0002121949,0.0005106092,0.000266642,0.0004538631,0.0006416698],"category_scores_gemma":[0.0003944995,0.0001791839,0.0001685806,0.0003058772,0.0002653092,0.0003043361,0.0004195151,0.0005147365,0.0002701956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346145,"about_ca_system_score_gemma":0.0002746612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005569002,"about_ca_topic_score_gemma":0.001207568,"domain_scores_codex":[0.9997119,0.00003302105,0.00001581511,0.00009892395,0.0000983842,0.00004187019],"domain_scores_gemma":[0.9998228,0.00006564955,0.0000309777,0.0000226418,0.00003589136,0.00002209133],"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":[0.00005540005,0.00002609451,0.0002507883,0.00002163025,0.000004979769,0.00001642662,0.00003257651,0.0003110592,0.99296,0.0002464424,0.00008345706,0.005991082],"study_design_scores_gemma":[0.000007024598,0.00008447895,0.001065864,0.000002423054,0.000006131564,0.00004568363,0.0000119855,0.005235745,0.9921359,0.00010725,0.001289877,0.000007781983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8135393,0.001805572,0.1799726,0.0002136105,0.00009807028,0.0001689439,0.0004373638,0.0006786321,0.003085837],"genre_scores_gemma":[0.9037393,0.0008906392,0.08969372,0.0001836885,0.00002322048,0.0002199541,0.0004229429,0.0001045082,0.004721967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006416698,"threshold_uncertainty_score":0.002511442,"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."}}