{"id":"W4401638989","doi":"10.1021/acs.biomac.4c00727","title":"Harnessing Water Competition to Drive Enzyme Crosstalk","year":2024,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crosstalk; Enzyme; Chemistry; Competition (biology); Nanotechnology; Biophysics; Biochemistry; Ecology; Materials science; Biology; Engineering","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":[0.0004185321,0.0006308432,0.0005021469,0.0002378846,0.0002387351,0.000617353,0.0005598371,0.0004765397,0.002453006],"category_scores_gemma":[0.0006026754,0.0002823432,0.0002801367,0.0002081457,0.0004627385,0.001090892,0.001176024,0.0008324509,0.0004948466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210895,"about_ca_system_score_gemma":0.0003789237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003994373,"about_ca_topic_score_gemma":0.0008987414,"domain_scores_codex":[0.9996079,0.00004923895,0.00001762925,0.0001361544,0.00008364437,0.0001054249],"domain_scores_gemma":[0.9997436,0.0001005511,0.00004744293,0.00001710298,0.00002894069,0.00006232337],"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":[0.00006622791,0.00005395548,0.0001391924,0.0001124878,0.00001097667,0.00009219051,0.00004187447,0.0004684665,0.9929633,0.001177461,0.0002504426,0.004623599],"study_design_scores_gemma":[0.00002666074,0.0002290155,0.0003572421,0.000009755065,0.00001238497,0.00005865841,0.00004433194,0.007716381,0.9859299,0.0007955735,0.004804383,0.00001578494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427193,0.003387771,0.04327364,0.0007098084,0.0002842821,0.0001725233,0.0002260439,0.0006936186,0.008532896],"genre_scores_gemma":[0.9912445,0.0009544743,0.005434405,0.0001821227,0.00003377901,0.00008183901,0.00009034415,0.00005921621,0.001919389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002453006,"threshold_uncertainty_score":0.008206129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008388892392034882,"score_gpt":0.2569899095366311,"score_spread":0.2486010171445962,"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."}}