{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005193795,0.000164144,0.0002689142,0.0001909029,0.0001804623,0.00002312201,0.00008848932,0.00001832221,0.0003645391],"category_scores_gemma":[0.00004941785,0.0001533193,0.00008713614,0.0003732188,0.00002953912,0.00002118468,0.0001773076,0.0002236353,0.00002737138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002477216,"about_ca_system_score_gemma":0.0001976203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004774063,"about_ca_topic_score_gemma":0.00004685377,"domain_scores_codex":[0.9986389,0.00007771339,0.0002563187,0.0003830398,0.0002921899,0.000351799],"domain_scores_gemma":[0.9992568,0.00007272267,0.0000748611,0.0003095935,0.00005140821,0.0002345622],"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":[0.00449182,0.001501546,0.05650725,0.003427217,0.0001454129,0.0006022681,0.005494576,0.003512793,0.8373793,0.00001549103,0.009977585,0.07694468],"study_design_scores_gemma":[0.01840681,0.008474388,0.0345192,0.0003567677,0.0006456231,0.0004332526,0.003930144,0.01110844,0.4952307,0.00008443899,0.4251035,0.001706712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995599,0.0004096625,0.0002715072,0.0007959432,0.0003048845,0.0008759615,0.0002290019,0.00004527914,0.001468779],"genre_scores_gemma":[0.9923715,0.0000155512,0.001490369,0.00525655,0.00007611393,0.0001054219,0.00004306625,0.00003658254,0.0006048625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4151259,"threshold_uncertainty_score":0.625218,"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."}}