{"id":"W2953652338","doi":"10.1021/acs.biochem.9b00237","title":"Revisiting Trade-offs between Rubisco Kinetic Parameters","year":2019,"lang":"en","type":"article","venue":"Biochemistry","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":228,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Molecular and Cellular Biosciences; Wolfson Family Charitable Trust; Azrieli Foundation; National Research Foundation Singapore; Israel Science Foundation; H2020 European Research Council; Weizmann Institute of Science; U.S. Department of Energy; National Science Foundation","keywords":"RuBisCO; Enzyme kinetics; Carboxylation; Chemistry; Kinetics; Substrate (aquarium); Enzyme; Catalysis; Stereochemistry; Biology; Biochemistry; Active site; Physics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004850226,0.001299205,0.001432704,0.001106878,0.0005127699,0.003621222,0.002646021,0.001605547,0.003224767],"category_scores_gemma":[0.01514298,0.0006972008,0.0006617315,0.001207637,0.001558313,0.007164576,0.00203332,0.004197288,0.001308203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276886,"about_ca_system_score_gemma":0.0007683233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009193719,"about_ca_topic_score_gemma":0.00108854,"domain_scores_codex":[0.9983627,0.0003397375,0.0001214835,0.0006500953,0.0003765336,0.0001494293],"domain_scores_gemma":[0.9931206,0.005170372,0.0005520288,0.0005836818,0.0004126991,0.0001605378],"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":[0.001440933,0.0003617021,0.01108427,0.002029233,0.0003030279,0.000688922,0.0003425527,0.01681568,0.662639,0.09688537,0.003545947,0.2038634],"study_design_scores_gemma":[0.0001556453,0.0008335656,0.02555463,0.0008508967,0.0005012213,0.002210624,0.0009349101,0.1652041,0.5242549,0.2504591,0.02854018,0.0005003535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6524722,0.08098987,0.2124801,0.01180618,0.001813028,0.0001308551,0.000867687,0.001185441,0.0382547],"genre_scores_gemma":[0.9694454,0.009977475,0.01708021,0.001283855,0.0002011674,0.00004357356,0.0002334916,0.0002694758,0.001465412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004850226,"threshold_uncertainty_score":0.02565074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009500763533106154,"score_gpt":0.2341643181063909,"score_spread":0.2246635545732848,"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."}}