{"id":"W2571400697","doi":"10.1016/j.carbpol.2017.01.002","title":"Impact of RGD amount in dextran-based hydrogels for cell delivery","year":2017,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Dextran; Self-healing hydrogels; Cell adhesion; Adhesion; Chemistry; Biophysics; Chitosan; Polymer; Materials science; Polymer chemistry; Chemical engineering; Biochemistry; 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":[0.0001637297,0.0002165997,0.0002522152,0.00009641954,0.0001426486,0.00003442517,0.0005062799,0.0001842924,0.00002346443],"category_scores_gemma":[0.00007244913,0.000204268,0.0002873093,0.00006200552,0.0002310696,0.00000919224,0.00005991819,0.00006886754,0.000006232499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005190074,"about_ca_system_score_gemma":0.0003111384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584671,"about_ca_topic_score_gemma":0.0001721744,"domain_scores_codex":[0.9987922,0.0000411636,0.0003077561,0.000389926,0.0001015834,0.0003674254],"domain_scores_gemma":[0.9985896,0.00002259363,0.0002329345,0.0009664987,0.00007247589,0.0001159049],"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":[0.000132989,0.0001207124,0.005393595,0.00002925012,0.00005071495,0.000001192237,0.00004712782,0.0005346073,0.991142,0.000005947211,0.00007809477,0.002463792],"study_design_scores_gemma":[0.0009373954,0.0002075951,0.004225344,0.00001912093,0.00004053634,7.133906e-7,0.00002254533,0.002088076,0.9912477,0.00001656027,0.0009438861,0.0002505763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964442,0.001289123,0.0004815378,0.00009848244,0.00006000231,0.0004684229,0.0001483534,0.00001070194,0.0009992357],"genre_scores_gemma":[0.9990783,0.00005730955,0.0002616248,0.00006374641,0.00006760137,0.0002022244,0.00008083916,0.00004770495,0.000140624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002634185,"threshold_uncertainty_score":0.8329806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746519235868012,"score_gpt":0.2657863314968019,"score_spread":0.2483211391381217,"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."}}