{"id":"W4391138236","doi":"10.3389/fbioe.2024.1364724","title":"Editorial: Insights in biomaterials 2022 / 2023—novel developments, current challenges and future perspectives","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Current (fluid); Nanotechnology; Chemistry; Engineering ethics; Biochemical engineering; Materials science; Engineering; Electrical engineering","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003080895,0.000594595,0.001154456,0.002039211,0.00003411643,0.00002832034,0.000148537,0.002281905,0.000002218726],"category_scores_gemma":[0.0002309246,0.0004849913,0.00004938192,0.0004936231,0.0002429231,0.00004705591,0.000170726,0.00148741,0.000001960712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029366,"about_ca_system_score_gemma":0.0001384724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001852138,"about_ca_topic_score_gemma":0.00001454406,"domain_scores_codex":[0.9977429,0.00002545862,0.0004832427,0.0009226808,0.0003556954,0.0004700175],"domain_scores_gemma":[0.9994131,0.00005002862,0.00007300903,0.0002783499,0.00006359394,0.0001219396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000829191,0.0001239941,0.00001691309,0.002515595,0.0002448789,0.0001193747,0.001848865,0.000004974337,0.00915604,0.0007390547,0.9472016,0.03794581],"study_design_scores_gemma":[0.001345199,0.0002498598,0.0001321066,0.001704796,0.00007225444,0.00002714921,0.001642604,0.0001515969,0.0006947498,0.00004790549,0.9934633,0.0004684342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001486687,0.4443902,0.0001722342,0.001122741,0.5523983,0.0002251153,0.00003540658,0.0001633373,0.000005989424],"genre_scores_gemma":[0.000674179,0.3451006,0.002538233,0.000001219014,0.6512108,0.00006713609,0.0001100217,0.00007139698,0.0002263662],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09928958,"threshold_uncertainty_score":0.9997602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007411615321815687,"score_gpt":0.2423021249580376,"score_spread":0.2348905096362219,"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."}}