{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342443,0.00009368988,0.0001177656,0.00007568025,0.0007459479,0.0006856288,0.0002061348,0.00005348261,0.0001762205],"category_scores_gemma":[0.0001698894,0.00009447,0.00001190563,0.00006835373,0.0000343488,0.0004829167,0.0001476194,0.00003154617,0.000429689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004041462,"about_ca_system_score_gemma":0.00002246067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004923186,"about_ca_topic_score_gemma":0.00005466906,"domain_scores_codex":[0.9992649,0.00002126353,0.0001347293,0.0002380907,0.0001487519,0.0001922856],"domain_scores_gemma":[0.9993901,0.00002611439,0.0001137408,0.0003099298,0.0000396811,0.00012038],"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":[0.00001588031,0.00001073051,0.0009931277,0.000007329975,0.000001757716,0.00000909447,0.0003799525,0.000001928113,0.994647,0.0001559618,0.0007079354,0.003069269],"study_design_scores_gemma":[0.0002541655,0.00004523537,0.03444303,0.00001990037,0.000008716413,0.00001617366,0.0001418424,0.00002802074,0.9130505,0.00003380344,0.05178978,0.0001688912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995434,0.00001305337,0.0001512643,0.000690547,0.0007293468,0.0001970356,0.00002533144,0.00005941527,0.002700021],"genre_scores_gemma":[0.9946098,0.00001308927,0.0004049302,0.000197126,0.0001537097,0.00001777578,0.000006555329,0.00001369204,0.004583294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08159659,"threshold_uncertainty_score":0.6611534,"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."}}