{"id":"W4412372713","doi":"10.1002/admt.202402062","title":"Bioengineered Models of Nerve Regeneration","year":2025,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Regeneration (biology); Neuroscience; Biology; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001412794,0.0001024497,0.0001952337,0.0002370192,0.0000207546,0.00001620429,0.0002800341,0.0001543407,0.00001285999],"category_scores_gemma":[0.0002739661,0.00009453754,0.00002025981,0.0003529612,0.0001117293,0.0001148219,0.0001221138,0.00008025485,0.000004966016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003816651,"about_ca_system_score_gemma":0.00001298197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004071278,"about_ca_topic_score_gemma":8.126293e-7,"domain_scores_codex":[0.9992878,0.000008516656,0.0002600882,0.0001317797,0.0001126317,0.0001992143],"domain_scores_gemma":[0.9995208,0.0000497963,0.00002524203,0.0003416082,0.00005228762,0.00001029681],"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":[0.00000573904,0.000005861998,0.000003144354,0.0001719785,0.00001599834,0.00000115197,0.000005705129,0.01664006,0.9364649,0.01854579,0.000275639,0.02786405],"study_design_scores_gemma":[0.000125582,0.00001516698,0.00002198388,0.00007995298,0.000003422254,4.345927e-7,0.00004556409,0.004485789,0.9533027,0.04126205,0.0005833304,0.0000740368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100003,0.001330677,0.08239869,0.0004633595,0.0006006769,0.000264083,0.00002833461,0.003286803,0.001627133],"genre_scores_gemma":[0.977214,0.0006314287,0.02197669,0.000003188831,0.000006732439,0.00006180079,0.00001058463,0.00001318007,0.00008238022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06721377,"threshold_uncertainty_score":0.3855129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233346928114452,"score_gpt":0.2624540317018573,"score_spread":0.2501205624207128,"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."}}