{"id":"W2762769691","doi":"10.1021/acsomega.7b00675","title":"Rose Bengal Binding to Collagen and Tissue Photobonding","year":2017,"lang":"en","type":"article","venue":"ACS Omega","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Sciences and Engineering Research Council of Canada; Division of Engineering Education and Centers; Canadian Institutes of Health Research; Griffith University; University of Ottawa Heart Institute Foundation; University of Ottawa","keywords":"Rose bengal; Isothermal titration calorimetry; Chemistry; Lysine; Arginine; Peptide; Amino acid; Singlet oxygen; Electron transfer; Molecule; Biophysics; Crystallography; Biochemistry; Photochemistry; Oxygen; Organic chemistry","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":[0.0001650379,0.0003466506,0.0002247251,0.00008984625,0.0001749718,0.0002514473,0.0003804405,0.0002901556,0.001110672],"category_scores_gemma":[0.0002430029,0.0001406131,0.0002209699,0.0001073431,0.0002979076,0.0002214276,0.0002054378,0.0003899809,0.0002042686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576098,"about_ca_system_score_gemma":0.0001932132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00318593,"about_ca_topic_score_gemma":0.002160095,"domain_scores_codex":[0.9998345,0.00002410529,0.000004352208,0.00003806687,0.00005257112,0.00004628443],"domain_scores_gemma":[0.9998823,0.00005411746,0.00003172999,0.000008845274,0.00001176132,0.000011233],"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":[0.00002862573,0.00001131686,0.000189297,0.00005217228,0.000007121369,0.00005544317,0.00002789757,0.00107686,0.9971724,0.0003263792,0.00001510589,0.001037424],"study_design_scores_gemma":[0.0000057863,0.0001156977,0.002217834,0.000004326545,0.000009968801,0.00008724401,0.00002516359,0.009361783,0.9871263,0.0001412475,0.000895738,0.000008947701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840564,0.001721192,0.01148655,0.0001443117,0.00001410553,0.00002541836,0.00006918855,0.00005981765,0.002423127],"genre_scores_gemma":[0.9954573,0.0006109941,0.00282627,0.00003521995,0.000003464319,0.00001233049,0.00005001769,0.00001649363,0.0009879845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00318593,"threshold_uncertainty_score":0.006334782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395598523071745,"score_gpt":0.2974836414331867,"score_spread":0.2735276562024693,"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."}}