{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000368571,0.0006061702,0.0002531178,0.0003238574,0.0002272424,0.0002956703,0.0004097594,0.0007415221,0.0007397795],"category_scores_gemma":[0.0002487304,0.0001987974,0.0003066431,0.0002163521,0.0002739909,0.0002513322,0.0002965949,0.0004449507,0.0003734868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449236,"about_ca_system_score_gemma":0.0001759176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005790584,"about_ca_topic_score_gemma":0.001081961,"domain_scores_codex":[0.9996885,0.00006447238,0.00002104597,0.00006188729,0.00009352449,0.00007053542],"domain_scores_gemma":[0.9998502,0.00004519296,0.00004189794,0.00002074993,0.00002792011,0.00001403017],"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":[0.000007519127,0.00001095077,0.00005925521,0.00002642768,0.000004037308,0.00001251266,0.000009601568,0.00004987153,0.9989107,0.00005849693,0.00001955868,0.0008312073],"study_design_scores_gemma":[0.000003056149,0.00007629146,0.0007087287,0.000003157495,0.000008147073,0.00006129437,0.000009271264,0.0006815264,0.9974777,0.00002019164,0.0009463369,0.000004226516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276315,0.004132186,0.06454296,0.0002836276,0.00009738427,0.0001889699,0.0001009143,0.0002039002,0.002818484],"genre_scores_gemma":[0.9536929,0.001813298,0.04149817,0.0002395821,0.00002673854,0.00009357408,0.000188103,0.00002231827,0.002425455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007415221,"threshold_uncertainty_score":0.002502561,"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."}}