{"id":"W2072318865","doi":"10.1007/s11427-009-0049-9","title":"Adsorption and adhesion of blood proteins and fibroblasts on multi-wall carbon nanotubes","year":2009,"lang":"en","type":"article","venue":"Science in China Series C Life Sciences","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Adsorption; Carbon nanotube; Fibroblast; Adhesion; Materials science; Fibrinogen; Cell adhesion; Chemical engineering; Biophysics; Protein adsorption; Chemistry; Nanotechnology; Composite material; In vitro; Biochemistry; Organic chemistry; Biology","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":[0.001358861,0.0001362203,0.0001885954,0.000223364,0.0003717202,0.0001422785,0.0004022439,0.00003905873,0.00001140125],"category_scores_gemma":[0.0003574117,0.0001015254,0.00001622867,0.0009682428,0.002188727,0.0008118234,0.00008944434,0.00005847187,0.000002337676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366487,"about_ca_system_score_gemma":0.0001578337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572918,"about_ca_topic_score_gemma":0.00006428387,"domain_scores_codex":[0.9982107,0.00005425003,0.0003043782,0.0005794019,0.0005028432,0.0003484593],"domain_scores_gemma":[0.9994103,0.00006267134,0.0001375764,0.0002098579,0.00004392619,0.0001356302],"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":[0.00001541576,0.0001146505,0.005234361,0.00001109621,2.594649e-7,3.763692e-7,0.0006618602,0.00006155446,0.9900401,0.002909363,0.000001369199,0.0009496434],"study_design_scores_gemma":[0.0001698348,0.0006349616,0.1499649,0.000121518,0.000004160889,0.000005726026,0.0002979359,0.001308296,0.8452837,0.002071657,0.000009943215,0.0001273718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977888,0.0001811699,0.000006204096,0.001377982,0.00006288812,0.000301027,0.000003941849,0.00003101798,0.0002469673],"genre_scores_gemma":[0.9947758,0.0001053525,0.004993587,0.00006426776,0.00001793942,0.00001895458,1.434193e-7,0.000003079837,0.00002087881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447563,"threshold_uncertainty_score":0.8064458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794454688758399,"score_gpt":0.2616791677329611,"score_spread":0.2437346208453771,"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."}}