{"id":"W4403485746","doi":"10.1002/adfm.202414375","title":"Virus‐Assembled Biofunctional Microarrays with Hierarchical 3D Nano‐Reticular Network","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Nanotechnology; Nano-; Reticular connective tissue; DNA microarray; Biology; Composite material; Genetics; Anatomy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001784371,0.0002558164,0.0002311227,0.0001640264,0.0001129616,0.000135207,0.00009549376,0.0001168177,0.001466628],"category_scores_gemma":[0.00000913808,0.0002124475,0.00007688976,0.0004913384,0.00005752829,0.0002666127,0.00002073394,0.0001437253,0.0001694713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006321631,"about_ca_system_score_gemma":0.00003901423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003549282,"about_ca_topic_score_gemma":0.000001889058,"domain_scores_codex":[0.9987172,0.00004148134,0.0003138141,0.000342296,0.0002606528,0.0003244991],"domain_scores_gemma":[0.999508,0.00009305519,0.000028677,0.0002143986,0.00006260072,0.00009323559],"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":[0.0001294042,0.00002291287,0.0000528162,0.0001071821,0.0001347988,0.00001320714,0.00001423494,0.00639581,0.9651964,0.01943652,0.006655607,0.001841101],"study_design_scores_gemma":[0.0004781226,0.0001707553,0.003627067,0.0003185002,0.00007247075,0.0001379474,0.000008968896,0.0006513879,0.5973969,0.006465535,0.3900124,0.0006599819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4398695,0.004086662,0.5313668,0.0005079367,0.008270338,0.0009775322,0.0002769236,0.007108087,0.00753628],"genre_scores_gemma":[0.964483,0.0002697588,0.03303513,0.0002421505,0.000918419,0.0003464196,0.0002604361,0.00009913016,0.0003455499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5246135,"threshold_uncertainty_score":0.9994462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005342723355814777,"score_gpt":0.1976564071145504,"score_spread":0.1923136837587356,"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."}}