{"id":"W4206199300","doi":"10.1139/cjc-2021-0229","title":"Comparison of sample preparation methods for rare cell isolation in microfluidic devices","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Circulating tumor cell; Ficoll; Microfluidics; Repeatability; Chemistry; Cancer; Blood cancer; Molecular biology; Nanotechnology; Oncology; Cancer research; Computational biology; Internal medicine; Chromatography; Medicine; Peripheral blood mononuclear cell; Biology; Materials science; Biochemistry; Metastasis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003922471,0.001131653,0.0008405961,0.001387828,0.0006137287,0.001053778,0.001006707,0.0008756775,0.001150975],"category_scores_gemma":[0.008300715,0.0005254138,0.0007587065,0.0008829659,0.0005273691,0.0009121508,0.0007512251,0.0008017561,0.0005027767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424719,"about_ca_system_score_gemma":0.0007380564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009767305,"about_ca_topic_score_gemma":0.001770767,"domain_scores_codex":[0.9962202,0.0008476498,0.0006057575,0.0006257308,0.001454542,0.0002460817],"domain_scores_gemma":[0.9964058,0.002054997,0.0003436629,0.0002625835,0.0008279923,0.0001049065],"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":[0.002060368,0.0004275213,0.003661399,0.002215321,0.0002730064,0.0001671285,0.000471869,0.001528482,0.9184703,0.00091648,0.002232004,0.06757614],"study_design_scores_gemma":[0.0001567846,0.002426783,0.009680153,0.0001216155,0.0003884781,0.0003696456,0.0002506847,0.009405524,0.9612722,0.0003170206,0.01545731,0.0001539059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7577736,0.03064608,0.1948971,0.001699228,0.002625975,0.002893621,0.003308377,0.001623886,0.004532184],"genre_scores_gemma":[0.5999377,0.01824687,0.3685926,0.001009749,0.0005452852,0.003934761,0.004245849,0.0003810809,0.003106039],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003922471,"threshold_uncertainty_score":0.02074426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342651313899075,"score_gpt":0.2994594605363479,"score_spread":0.2760329473973572,"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."}}