{"id":"W4389108912","doi":"10.1101/2023.11.27.568937","title":"Nanoporous PEGDA ink for High-Resolution Additive Manufacturing of Scaffolds for Organ-on-a-Chip","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Nanoporous; Inkwell; Organ-on-a-chip; Chip; 3D printing; Nanotechnology; Materials science; Computer science; Microfluidics; Composite material; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005645022,0.0008978351,0.0009903684,0.0006986491,0.0002443208,0.0001155993,0.0009015202,0.001017635,0.00001679342],"category_scores_gemma":[0.0005486757,0.0009985435,0.0003389684,0.0002612954,0.0001887602,0.0001110146,0.000509639,0.0005407476,0.00003661667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004307877,"about_ca_system_score_gemma":0.0001500462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003588665,"about_ca_topic_score_gemma":0.000005594867,"domain_scores_codex":[0.9967484,0.00004713377,0.0008049568,0.001099987,0.0003621321,0.0009373525],"domain_scores_gemma":[0.997023,0.0006477998,0.0004672579,0.001349877,0.0003683881,0.0001436369],"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":[0.0009692072,0.0008563665,0.0006382652,0.02426034,0.006170494,0.0001379812,0.0002281339,0.07234112,0.8093438,0.02453272,0.05910863,0.001412991],"study_design_scores_gemma":[0.0007562466,0.0001747932,0.008069406,0.0009219189,0.0001567257,1.540768e-8,0.00001166732,0.001634452,0.9833478,0.0002677267,0.003639533,0.001019665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411586,0.0002237874,0.04242647,0.0001524906,0.003088316,0.002306478,0.005122492,0.005509268,0.00001209778],"genre_scores_gemma":[0.9796342,0.0002081165,0.01759811,0.00002615391,0.0006301193,0.0014172,0.00001173327,0.0004563811,0.00001804276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740041,"threshold_uncertainty_score":0.9992465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775646498600812,"score_gpt":0.2153850994568043,"score_spread":0.1976286344707961,"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."}}