{"id":"W2050475121","doi":"10.1089/biores.2015.0007","title":"Development and Characterization of a Collagen-Based Matrix for Vascularization and Cell Delivery","year":2015,"lang":"en","type":"article","venue":"BioResearch open access","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta","funders":"National Institute for Health and Care Research; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; National Institutes of Health; Meso Scale Diagnostics","keywords":"Carbodiimide; Linker; Chemistry; Collagenase; Transplantation; Laminin; Integrin; Matrix (chemical analysis); Extracellular matrix; Tissue engineering; Biophysics; Biomedical engineering; Biochemistry; Cell; Surgery; Biology; Chromatography; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005202608,0.0004675974,0.0001284705,0.0004003343,0.0002059813,0.0002383898,0.0001727303,0.0002904761,0.0007535664],"category_scores_gemma":[0.0003830823,0.0001959262,0.0001692407,0.0002373016,0.0001598468,0.0001619489,0.0001183815,0.0003240535,0.0003168254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793419,"about_ca_system_score_gemma":0.0004398863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184012,"about_ca_topic_score_gemma":0.00251978,"domain_scores_codex":[0.9998274,0.00002797774,0.00001354232,0.00003116062,0.0000709805,0.00002877311],"domain_scores_gemma":[0.9996169,0.0001090062,0.00007392506,0.00003345417,0.00009600008,0.00007072017],"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":[0.000006032395,0.000005423787,0.00004201513,0.00000922758,7.770264e-7,0.00001684976,0.000006147403,0.0000541396,0.9989977,0.00003513731,0.000007889524,0.0008185129],"study_design_scores_gemma":[0.000007894519,0.0001380472,0.002016137,0.000007393164,0.000006969041,0.000182223,0.00001052701,0.001423226,0.9935456,0.00003518297,0.002621903,0.000004824699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018972,0.003624108,0.1861179,0.0002323621,0.0001025566,0.000728059,0.001283737,0.0003554776,0.005658626],"genre_scores_gemma":[0.7969628,0.002726482,0.1936973,0.00009330339,0.00003720627,0.0005673243,0.001517161,0.0001236102,0.004274808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001184012,"threshold_uncertainty_score":0.00275141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359057709805004,"score_gpt":0.4091805172961553,"score_spread":0.2732747463156548,"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."}}