{"id":"W4221068679","doi":"10.1002/smll.202106097","title":"PillarX: A Microfluidic Device to Profile Circulating Tumor Cell Clusters Based on Geometry, Deformability, and Epithelial State","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Associazione Italiana per la Ricerca sul Cancro; Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della Salute","keywords":"Microfluidics; Pillar; Circulating tumor cell; Materials science; Cell; Biomedical engineering; Nanotechnology; Cluster of differentiation; Nanoparticle; Biophysics; Cancer; Chemistry; Metastasis; Biology; Medicine; Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002284481,0.0004296899,0.0003883901,0.0006467695,0.0003323802,0.0005715798,0.0006059911,0.0005100654,0.001684832],"category_scores_gemma":[0.0004251565,0.000321242,0.0002377073,0.0002205595,0.0002896379,0.0004532877,0.0006498227,0.0003716196,0.0004561439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135635,"about_ca_system_score_gemma":0.0004081785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005429799,"about_ca_topic_score_gemma":0.0009286277,"domain_scores_codex":[0.9997552,0.00002402329,0.000013941,0.00008280391,0.00009712726,0.00002688021],"domain_scores_gemma":[0.9998053,0.00006561867,0.00004895465,0.0000276972,0.00002279818,0.00002968174],"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":[0.0001438192,0.00006633959,0.001292038,0.0001460531,0.00003481431,0.00008972938,0.00007413572,0.0008453765,0.96408,0.001175434,0.001749266,0.03030299],"study_design_scores_gemma":[0.0001095547,0.0008645096,0.007811593,0.00003595057,0.00007243995,0.0005671366,0.00007586684,0.03010279,0.9370031,0.0005870365,0.02262446,0.0001455189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5973994,0.006622061,0.3710002,0.0009414444,0.0006359175,0.001017006,0.004512349,0.006877027,0.01099458],"genre_scores_gemma":[0.7148296,0.002473183,0.2681978,0.0006894068,0.0001764155,0.001043291,0.001611756,0.0001662997,0.01081224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001684832,"threshold_uncertainty_score":0.005636394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903414084946623,"score_gpt":0.2444874161105393,"score_spread":0.2254532752610731,"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."}}