{"id":"W2283602559","doi":"10.1007/s10544-016-0041-7","title":"An integrated microfluidic chip for immunomagnetic detection and isolation of rare prostate cancer cells from blood","year":2016,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; University of Victoria; Vancouver Coastal Health; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Prostate cancer; Circulating tumor cell; Immunomagnetic separation; Prostate; Cancer; Microfluidic chip; Cancer cell; Microfluidics; Medicine; Cancer research; Biomedical engineering; Internal medicine; Materials science; Molecular biology; Biology; Nanotechnology; 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":[0.00029926,0.0003053512,0.0003402164,0.0003613971,0.0002669391,0.0003554176,0.0009240157,0.0006239447,0.0008613687],"category_scores_gemma":[0.0002733513,0.0003824426,0.0002679578,0.0001646866,0.0001416978,0.0002871293,0.0003883202,0.0003044182,0.0004483487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435289,"about_ca_system_score_gemma":0.0006787478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005641389,"about_ca_topic_score_gemma":0.001500896,"domain_scores_codex":[0.9997727,0.00001999415,0.00001509284,0.00006429458,0.0000883485,0.00003951272],"domain_scores_gemma":[0.9998506,0.00004455789,0.00001790586,0.00001980823,0.00003871042,0.00002831478],"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":[0.00008404689,0.00005397747,0.0002782745,0.00006150356,0.00001372046,0.00006639221,0.00001744377,0.0001660332,0.9887989,0.0004832205,0.0007342258,0.009242324],"study_design_scores_gemma":[0.00002978723,0.0001675248,0.001838058,0.000005861628,0.00003235183,0.0003600975,0.000006636042,0.007001091,0.9836797,0.00007929606,0.006780237,0.00001929318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688025,0.009082069,0.3035569,0.00195334,0.001784054,0.0004168663,0.001319601,0.002831774,0.01025285],"genre_scores_gemma":[0.7789491,0.002253725,0.2042806,0.001353366,0.0003178316,0.0003581683,0.0008478145,0.00009639526,0.01154294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009240157,"threshold_uncertainty_score":0.003218055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006258319860882711,"score_gpt":0.2063384062992792,"score_spread":0.2000800864383965,"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."}}