{"id":"W4293579608","doi":"10.1371/journal.pone.0269316","title":"Bioaffinity-based surface immobilization of antibodies to capture endothelial colony-forming cells","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise; Centre hospitalier universitaire de Québec; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Centre québécois sur les matériaux fonctionnels; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Antibody; Chemistry; Biotinylation; Surface modification; Covalent bond; Endothelial stem cell; Biophysics; Biochemistry; Molecular biology; Biology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001212226,0.00008382971,0.0001496783,0.0001444409,0.00006601179,0.000008158182,0.000122049,0.00002916424,0.0001233479],"category_scores_gemma":[0.00001218426,0.00009561887,0.00004076777,0.0004269302,0.00001656501,0.00003709233,0.00002873021,0.00009117769,0.000004458832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003637076,"about_ca_system_score_gemma":0.00001557353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003314844,"about_ca_topic_score_gemma":0.000004928966,"domain_scores_codex":[0.999372,0.00002962206,0.0001680074,0.0001019911,0.0002096809,0.0001187086],"domain_scores_gemma":[0.9996692,0.00004014661,0.00003773397,0.0001642667,0.00005279765,0.00003587834],"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":[0.00001372501,0.0002643311,0.001758687,0.0001323989,0.0000408138,6.708427e-7,0.0003983424,0.01074265,0.9859852,0.000142433,0.0004185037,0.0001022936],"study_design_scores_gemma":[0.0001328067,0.0000779227,0.0002743077,0.00002819417,0.00002826101,1.723895e-7,0.00009237445,0.005506801,0.991236,0.00001989609,0.002483293,0.0001199683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916469,0.0001628441,0.005509801,0.00008135502,0.00006092363,0.0004300256,0.0002235485,0.0005096311,0.001374973],"genre_scores_gemma":[0.981575,0.00002152508,0.01811751,0.00007906014,0.00001273227,0.00004703497,0.00002934287,0.00002199554,0.00009579057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126077,"threshold_uncertainty_score":0.3899224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196548379294098,"score_gpt":0.2091349980268515,"score_spread":0.1894801600974417,"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."}}