{"id":"W4408945356","doi":"10.1038/s41467-025-58379-0","title":"Scaling-up molecular logic to meso-systems via self-assembly","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; China Scholarship Council; Queen's University; Queen's University Belfast; Leverhulme Trust","keywords":"Computation; Scaling; Logic gate; Computer science; Nanotechnology; Set (abstract data type); Biological system; Theoretical computer science; Materials science; Algorithm; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517109,0.0001603311,0.0001779006,0.0001377637,0.0002984485,0.000086379,0.001033883,0.0004480672,0.00002694021],"category_scores_gemma":[0.0001872989,0.0001632793,0.0001114726,0.0005434101,0.00002654111,0.00004151546,0.0003531674,0.0008402195,0.00007008915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245929,"about_ca_system_score_gemma":0.00005212051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004965331,"about_ca_topic_score_gemma":0.00003605437,"domain_scores_codex":[0.9989842,0.0000950575,0.0002712209,0.0002650871,0.000187541,0.0001968711],"domain_scores_gemma":[0.9971166,0.0001228689,0.00007950892,0.002352935,0.0002395721,0.00008851082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002647567,0.0003075956,0.000222643,0.0001203966,0.000251004,0.00000758568,0.0002474272,0.0004446025,0.8979229,0.07639691,0.01536097,0.008691434],"study_design_scores_gemma":[0.000445304,0.00001712063,0.0002553809,0.0001297416,0.0001208286,0.00002073851,0.000185461,0.0126417,0.1984939,0.0007076318,0.7866073,0.0003749632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4031037,0.06412493,0.0698406,0.03205599,0.003290373,0.001570382,0.00008868498,0.002707047,0.4232183],"genre_scores_gemma":[0.9924679,0.0001794719,0.004164438,0.001177241,0.00003381379,0.00009167197,0.00005003441,0.00002086348,0.00181451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7712463,"threshold_uncertainty_score":0.6658338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009510140781005648,"score_gpt":0.2881950951155545,"score_spread":0.2786849543345489,"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."}}