{"id":"W3136692046","doi":"10.1016/j.ijbiomac.2021.03.082","title":"Alginate/poloxamer hydrogel obtained by thiol-acrylate photopolymerization for the alleviation of the inflammatory response of human keratinocytes","year":2021,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Corporation for National and Community Service","keywords":"Self-healing hydrogels; Poloxamer; Acrylate; Photopolymer; Chemistry; Wound healing; Swelling; Keratinocyte; Biophysics; Materials science; Polymer chemistry; Organic chemistry; Biochemistry; Polymer; In vitro; Surgery; Copolymer; Polymerization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004093821,0.00009491466,0.0002186408,0.00004469754,0.00008238402,0.00001331154,0.0001923442,0.00007937172,0.00004464429],"category_scores_gemma":[0.0006747692,0.00004776022,0.0002192452,0.00007335579,0.0001503859,0.00003109712,0.00004513388,0.000110866,5.761386e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004765775,"about_ca_system_score_gemma":0.0001284729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008755934,"about_ca_topic_score_gemma":0.000001417524,"domain_scores_codex":[0.9988238,0.0001518285,0.0005456401,0.00009861661,0.0002892913,0.00009083893],"domain_scores_gemma":[0.9982182,0.0003938186,0.0005778798,0.0001160724,0.0006596432,0.00003432338],"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":[0.001232523,0.0002164759,0.009986618,0.00001259347,0.0004177085,0.00001767213,0.0001927805,0.00001431013,0.9857429,0.00104346,0.00009717291,0.001025763],"study_design_scores_gemma":[0.001685776,0.0005582421,0.04407778,0.0001523784,0.00007777295,0.0001127433,0.0001941334,0.0001546968,0.9510594,0.001396615,0.0004766072,0.00005386682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942414,0.000909419,0.001441594,0.002915008,0.0002222752,0.0001594159,0.00005205941,0.000005026307,0.00005379533],"genre_scores_gemma":[0.9988195,0.0001243992,0.0005188826,0.0002840938,0.00007614193,0.000007652417,0.00003664028,0.000007011193,0.0001257215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03468353,"threshold_uncertainty_score":0.1947605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217519767927961,"score_gpt":0.3156158921259132,"score_spread":0.2938639153331171,"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."}}