{"id":"W4311361832","doi":"10.1186/s40824-022-00327-w","title":"Biomimetic hydrogel blanket for conserving and recovering intrinsic cell properties","year":2022,"lang":"en","type":"article","venue":"Biomaterials Research","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"KU-KIST Graduate School of Converging Science and Technology; Korea Health Industry Development Institute; Korea Institute of Science and Technology","keywords":"Oxygen permeability; Biophysics; Glycosaminoglycan; Tissue engineering; Cell culture; Oxygen; Cell biology; Chemistry; Materials science; Blanket; Biomedical engineering; Biology; Composite material; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003861526,0.0001561986,0.0002476808,0.0005032015,0.0005359969,0.0002279727,0.0004934873,0.0000783992,0.000411864],"category_scores_gemma":[0.0004734875,0.0001498004,0.00004036747,0.0005014011,0.0002527175,0.00007916669,0.001054907,0.0001686608,0.00004868442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179355,"about_ca_system_score_gemma":0.00009792382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001288816,"about_ca_topic_score_gemma":0.000003468158,"domain_scores_codex":[0.9974791,0.0002650087,0.000336654,0.000354845,0.0007256958,0.0008386269],"domain_scores_gemma":[0.9988727,0.0004787423,0.00002391644,0.0003363625,0.0001021331,0.0001861572],"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":[0.00009275303,0.00003083541,0.0001202673,0.0008859931,0.00002641442,0.00001176028,0.0002050532,0.00003951657,0.9911903,0.00005001629,0.002491758,0.004855344],"study_design_scores_gemma":[0.0007332641,0.0002701155,0.0003045093,0.00006032743,0.000005702406,0.00002618166,0.000308601,0.01038865,0.9524277,0.0005933447,0.03461385,0.0002677476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963305,0.001133031,0.00007192349,0.0002267604,0.0004810719,0.0008645813,0.00008297015,0.0002430063,0.0005661726],"genre_scores_gemma":[0.9976981,0.0001829823,0.0008592815,0.00001567553,0.0001465438,0.0007217983,0.00001784984,0.00007081145,0.0002869316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03876258,"threshold_uncertainty_score":0.6108682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09232737527013397,"score_gpt":0.3131700945609117,"score_spread":0.2208427192907778,"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."}}