{"id":"W4415267234","doi":"10.1021/jacs.5c12059","title":"Kinetically Programmed Signaling Cascades for Molecular Detection","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Institut TransMedTech; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Cascade; Modularity (biology); Small molecule; Synthetic biology; Molecule; Drug discovery; Biosensor; Cell signaling","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003474086,0.0005832899,0.0003267272,0.0001976034,0.0002563779,0.0005823206,0.0008096436,0.0007035499,0.003450332],"category_scores_gemma":[0.0006625493,0.0004166853,0.0003411469,0.0001917106,0.0005974555,0.001159176,0.0003956278,0.00133512,0.0008501796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369759,"about_ca_system_score_gemma":0.0004284473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004721459,"about_ca_topic_score_gemma":0.0005211493,"domain_scores_codex":[0.9998129,0.00002849341,0.000009306023,0.00003986732,0.00008091488,0.00002859167],"domain_scores_gemma":[0.9998696,0.0000630819,0.00002258109,0.00001675299,0.00001587629,0.000012199],"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":[0.0001467256,0.0001791423,0.0005405406,0.000541851,0.00004863283,0.0001462513,0.000108093,0.09714051,0.7516664,0.1231173,0.001880779,0.02448377],"study_design_scores_gemma":[0.0001032408,0.0002404414,0.0003654375,0.00002877451,0.0000332636,0.000111454,0.00002077169,0.5964817,0.3501949,0.02394901,0.02838506,0.00008586566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3619418,0.008384775,0.5927292,0.001676218,0.0008135693,0.0003579778,0.0005032237,0.003077314,0.03051602],"genre_scores_gemma":[0.9120582,0.003889266,0.07793605,0.0002740299,0.00006659206,0.0003267317,0.0002106423,0.0001379758,0.005100534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003450332,"threshold_uncertainty_score":0.0115425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005358253839113845,"score_gpt":0.2799852867533656,"score_spread":0.2746270329142517,"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."}}