{"id":"W4388466170","doi":"10.1002/adhm.202302057","title":"Integrating Melt Electrowriting and Fused Deposition Modeling to Fabricate Hybrid Scaffolds Supportive of Accelerated Bone Regeneration","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Johnson and Johnson; European Regional Development Fund; Science Foundation Ireland","keywords":"Scaffold; Biomedical engineering; Medullary cavity; Bone healing; Materials science; Regeneration (biology); Bone formation; Coating; Tissue engineering; Bone morphogenetic protein 2; Bridging (networking); Chemistry; Nanotechnology; Computer science; Surgery; Anatomy; Engineering; Medicine; Cell biology","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":[],"category_scores_codex":[0.0004710134,0.0002693223,0.0005441307,0.0002742756,0.0001043043,0.0000803623,0.00009179005,0.0000922703,0.00001814492],"category_scores_gemma":[0.00009061853,0.0003046418,0.00002687911,0.000419703,0.00001256559,0.0002936586,0.0000536774,0.0000697529,0.00002107815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224975,"about_ca_system_score_gemma":0.00002555111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001801072,"about_ca_topic_score_gemma":0.00002249147,"domain_scores_codex":[0.9980456,0.00008561172,0.0008457957,0.0003283352,0.0001830826,0.000511586],"domain_scores_gemma":[0.9993088,0.00004651112,0.0001210925,0.0002248977,0.0001614619,0.0001372277],"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":[0.00003521231,0.000003747819,0.000003901111,0.0005100008,0.0000152024,0.00001200144,0.0003362833,0.07470609,0.9166269,0.0002150262,0.00002682017,0.007508825],"study_design_scores_gemma":[0.0002477703,0.00009621878,0.00008960503,0.0002936404,0.00001086883,0.00002178404,0.0001228889,0.06818438,0.9304335,0.0002327253,0.00001168405,0.0002549269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675244,0.0002178989,0.0297429,0.0002968657,0.0005285799,0.0005859684,0.000117658,0.0009697736,0.00001593271],"genre_scores_gemma":[0.9912528,0.0001595879,0.007834128,0.00003881688,0.0001375848,0.0001654647,0.0002909399,0.0001063156,0.00001439907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02372834,"threshold_uncertainty_score":0.9999406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166475723558724,"score_gpt":0.2743619621691691,"score_spread":0.2526972049335818,"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."}}