{"id":"W4403319834","doi":"10.1101/2024.10.06.616594","title":"A Novel GelMA-OrnMA Electrically Conductive Bioink for Developing Engineered Neural Tissues","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Electrically conductive; Electrical conductor; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498953,0.0004187639,0.0001302105,0.0002769112,0.0001036723,0.0002380278,0.0002080951,0.0003677821,0.0007241367],"category_scores_gemma":[0.0001765981,0.0001367903,0.0001838794,0.0001082465,0.0001180869,0.0002618361,0.0001869575,0.0002197901,0.0002948492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549459,"about_ca_system_score_gemma":0.0001244307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001648254,"about_ca_topic_score_gemma":0.0004825948,"domain_scores_codex":[0.9999298,0.000008942149,0.000008647758,0.00001820642,0.00002371526,0.00001061187],"domain_scores_gemma":[0.9998621,0.00003067321,0.00005344403,0.00001175845,0.00001540038,0.00002665288],"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":[0.000006234714,0.000005954229,0.00002011974,0.00003057272,0.000001977117,0.0000325856,0.0000042822,0.00005694592,0.9989672,0.00003947772,0.00001164211,0.0008230176],"study_design_scores_gemma":[0.000003660592,0.00007548449,0.000358551,0.00000497671,0.000007173423,0.0001484758,0.00000382352,0.0006040524,0.9972339,0.00002018006,0.001536367,0.000003381019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609272,0.004381547,0.02965242,0.0001957531,0.0001598845,0.00008202065,0.0002388409,0.0004577313,0.003904575],"genre_scores_gemma":[0.9603049,0.001187265,0.03453059,0.0001000109,0.00001861174,0.00008523478,0.000165168,0.00005624399,0.003551855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007241367,"threshold_uncertainty_score":0.002422452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633693635429439,"score_gpt":0.2622266006338885,"score_spread":0.2358896642795941,"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."}}