{"id":"W4210600167","doi":"10.1002/smll.202106547","title":"High‐Efficiency Capture of Cells by Softening Cell Membrane","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Natural Science Foundation of China","keywords":"Softening; Materials science; Membrane; Circulating tumor cell; Cell; Substrate (aquarium); Adhesion; Cell membrane; Cell adhesion; Nanotechnology; Cancer cell; Biophysics; Chemistry; Composite material; Cancer; Biology; Metastasis","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":[0.00008590509,0.0001030431,0.0001379445,0.00005968508,0.00006312942,0.000006392057,0.0002222849,0.00006169052,0.000111481],"category_scores_gemma":[0.000004984266,0.0001005246,0.0000416543,0.0001736618,0.00003892385,0.000013522,0.0001078984,0.0002165322,0.000009579673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003213093,"about_ca_system_score_gemma":0.000009858802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006638413,"about_ca_topic_score_gemma":0.000001366343,"domain_scores_codex":[0.9994219,0.00001124987,0.0001434003,0.0001255787,0.0001023022,0.0001955919],"domain_scores_gemma":[0.9997253,0.0000209413,0.00002954834,0.0001922763,0.00001214315,0.0000197422],"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":[0.000002399383,0.00002149662,0.0000139683,0.00004860839,0.000005103299,0.000006260407,0.0001451161,0.003025684,0.967266,0.0000422933,0.0288319,0.0005912069],"study_design_scores_gemma":[0.0001392255,0.00003503101,0.000004458266,0.000004955648,0.000009220531,0.00000422764,0.000374043,0.0008137565,0.9770292,0.00003909452,0.02142186,0.0001249214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882963,0.004002348,0.004403404,0.00008999858,0.0005003891,0.00009475783,0.00007193382,0.0006783163,0.001862581],"genre_scores_gemma":[0.9966506,0.0001010636,0.002411708,0.00003461697,0.00001295726,0.000003385298,0.00001353531,0.00002043367,0.0007517094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00976325,"threshold_uncertainty_score":0.4099273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0047979478929034,"score_gpt":0.1463706792236633,"score_spread":0.14157273133076,"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."}}