{"id":"W4401890089","doi":"10.1002/adhm.202401713","title":"Enzymes in Addressing Hypoxia for Biomaterials Engineering","year":2024,"lang":"en","type":"review","venue":"Advanced Healthcare Materials","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Wallonie-Bruxelles International; Natural Science Foundation of Henan Province; Fonds De La Recherche Scientifique - FNRS","keywords":"Hypoxia (environmental); Tissue engineering; Enzyme; Materials science; Nanotechnology; Chemistry; Biomedical engineering; Biochemistry; Medicine; Oxygen; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002175184,0.001695828,0.006381468,0.00123962,0.0002114413,0.0007032745,0.001208877,0.001084508,0.000321279],"category_scores_gemma":[0.0007237225,0.001460128,0.0006026449,0.0009103089,0.0001299409,0.0006755118,0.000572989,0.000213163,0.0007498183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100088,"about_ca_system_score_gemma":0.0006319446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009518609,"about_ca_topic_score_gemma":0.00003570923,"domain_scores_codex":[0.9908386,0.0005391632,0.003968819,0.002254142,0.0005037261,0.00189557],"domain_scores_gemma":[0.9958692,0.0008041831,0.001411847,0.001440438,0.0001699031,0.0003044959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427437,0.00007393519,1.081779e-7,0.2831278,0.0001157758,0.0001608143,0.0001734049,0.00004242771,0.4840907,0.003784805,0.0002954106,0.2279921],"study_design_scores_gemma":[0.0004918514,0.0001266012,4.208106e-7,0.05969096,0.0006957707,0.0001064163,0.00002676656,0.000002790737,0.2891238,0.001084394,0.6469929,0.001657311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001432298,0.9729556,0.0002038973,0.0000884262,0.01313601,0.004467713,0.00681715,0.0008908235,0.000008028035],"genre_scores_gemma":[0.0005718149,0.9704437,0.01951669,0.00006718182,0.001536353,0.005592306,0.001482562,0.0006672754,0.0001221717],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6466975,"threshold_uncertainty_score":0.9995788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09861505297744763,"score_gpt":0.4174222877672943,"score_spread":0.3188072347898466,"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."}}