{"id":"W2193040277","doi":"10.1002/anie.201505100","title":"Beyond the Capture of Circulating Tumor Cells: Next‐Generation Devices and Materials","year":2015,"lang":"en","type":"review","venue":"Angewandte Chemie International Edition","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Cancer Research Society; Connaught Fund; Cancer Research Institute","keywords":"Circulating tumor cell; Computer science; Microfluidics; Profiling (computer programming); Exploit; Variety (cybernetics); Data science; Nanotechnology; Computational biology; Cancer; Biology; Medicine; Internal medicine; Materials science; Artificial intelligence; Metastasis","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":[0.0009217941,0.0009777104,0.001132241,0.001791548,0.0003142501,0.001090063,0.001210189,0.00185597,0.002654574],"category_scores_gemma":[0.0007385457,0.0005016508,0.0005870009,0.001362912,0.0008229139,0.002430622,0.0007947713,0.002281906,0.002480418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009017565,"about_ca_system_score_gemma":0.000882455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007973174,"about_ca_topic_score_gemma":0.001239883,"domain_scores_codex":[0.9996654,0.00004949537,0.00002209942,0.00005673303,0.0001674169,0.00003894035],"domain_scores_gemma":[0.999721,0.0001397775,0.00003245952,0.000013497,0.00006781172,0.00002549197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005906817,0.0001424597,0.000203761,0.01550372,0.00007581466,0.0003216689,0.0001364009,0.0009780024,0.01831059,0.02981351,0.04156386,0.892891],"study_design_scores_gemma":[0.000007834049,0.00007153614,0.0002114587,0.001046254,0.00002903893,0.0006027939,0.00003983823,0.0002719382,0.005550561,0.003850906,0.9882945,0.00002338427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002100844,0.9958121,0.001183235,0.0004082046,0.0004182601,0.00001075005,0.00001455194,0.00001850201,0.001924165],"genre_scores_gemma":[0.002048003,0.99322,0.001734991,0.0004732579,0.0002761458,0.00002773438,0.00003722014,0.000005054951,0.002177577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002654574,"threshold_uncertainty_score":0.008880436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08861358961534457,"score_gpt":0.3388782643525041,"score_spread":0.2502646747371595,"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."}}