{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001419448,0.0001431565,0.0001483251,0.0002593476,0.00004927646,0.00003709909,0.00007795657,0.0001521565,0.000002368962],"category_scores_gemma":[0.00002563346,0.0001529304,0.00002587826,0.000427762,0.00004286236,0.00006338918,0.00007535836,0.0001447177,0.00002626282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006931777,"about_ca_system_score_gemma":0.000008478141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004419836,"about_ca_topic_score_gemma":0.00000994143,"domain_scores_codex":[0.9992445,0.00001547658,0.0001909525,0.0001599405,0.00005483236,0.0003343282],"domain_scores_gemma":[0.9997445,0.00003307236,0.00001718202,0.0001552148,0.00001415231,0.00003584702],"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":[0.000003406508,0.000005336938,0.03353973,0.00004792361,0.000005656912,0.00001358836,0.0001263076,0.00001245071,0.9584545,0.000003070179,0.0007756131,0.007012377],"study_design_scores_gemma":[0.0003248807,0.00002056534,0.1134898,0.0001672254,0.00001674098,0.00004246771,0.0003886646,0.001874581,0.8803638,0.00007792595,0.002940454,0.0002928957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846577,0.01338446,0.0004691209,0.00004736298,0.0003595038,0.0001067279,0.000002996473,0.0008223706,0.0001497746],"genre_scores_gemma":[0.9932799,0.003574944,0.002966028,0.000008250529,0.00005982449,0.000003097968,0.000005969405,0.00003050784,0.00007147779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07995009,"threshold_uncertainty_score":0.623632,"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."}}