{"id":"W4318754313","doi":"10.1002/smll.202205320","title":"Microfluidic‐Assisted CTC Isolation and In Situ Monitoring Using Smart Magnetic Microgels","year":2023,"lang":"en","type":"article","venue":"Small","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; BC Cancer Agency; Canadian Centre for Applied Research in Cancer Control; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; BC Cancer Foundation; National Institute for Medical Research Development","keywords":"Circulating tumor cell; Microfluidics; Context (archaeology); Magnetic nanoparticles; Materials science; Nanotechnology; Microfluidic chip; Computer science; Immunomagnetic separation; Cancer metastasis; Biomedical engineering; Cancer; Cancer cell; Metastasis; Chemistry; Nanoparticle; Biology; Medicine; Chromatography; Internal medicine","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":[0.000181815,0.0002968526,0.0002201787,0.0002750304,0.0001573144,0.0003163329,0.0002979687,0.0003454012,0.0005587768],"category_scores_gemma":[0.0003016378,0.0001707555,0.0001558964,0.0001294801,0.0002103062,0.0002549398,0.0002864182,0.0002625155,0.0002420288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753794,"about_ca_system_score_gemma":0.0002732482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003936093,"about_ca_topic_score_gemma":0.0007238594,"domain_scores_codex":[0.9998642,0.00001330085,0.0000108777,0.00004622405,0.00004084198,0.00002450083],"domain_scores_gemma":[0.9998635,0.00003816285,0.00004402443,0.00001963346,0.00001991509,0.0000148515],"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":[0.00002183393,0.00001315267,0.00007634603,0.0000303364,0.000002199587,0.0000240534,0.000009602143,0.0003633433,0.9958999,0.0001605581,0.00006946806,0.003329231],"study_design_scores_gemma":[0.00001290691,0.00006237323,0.0004065237,0.000003534965,0.000005243136,0.00004378852,0.000008070167,0.007712709,0.990055,0.00006172462,0.001619129,0.000009196358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7934048,0.002424037,0.1969987,0.0005453523,0.0002983127,0.0002881366,0.0004909449,0.0011801,0.004369683],"genre_scores_gemma":[0.8953812,0.001008883,0.100299,0.0001463936,0.00005496611,0.0002106737,0.0001857029,0.00003167094,0.002681615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005587768,"threshold_uncertainty_score":0.001998007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335647446132778,"score_gpt":0.2291823399597513,"score_spread":0.1956175953464735,"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."}}