{"id":"W2901812771","doi":"10.1073/pnas.1812605115","title":"Design and in vitro realization of carbon-conserving photorespiration","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Coenzyme Q10 studies and effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Azrieli Foundation; Max-Planck-Gesellschaft; European Commission","keywords":"Photorespiration; Realization (probability); In vitro; Carbon fibers; Biochemical engineering; Environmental science; Biology; Computer science; Botany; Engineering; Mathematics; Biochemistry; Photosynthesis; Statistics","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":[0.0006369797,0.00003598243,0.00006081033,0.00004743665,0.00004632607,0.000003559675,0.0001269535,0.00003913791,4.490651e-7],"category_scores_gemma":[0.0002696076,0.00002606737,0.00001270609,0.000202801,0.0003463118,0.000007709319,0.00007585807,0.00002092913,1.745422e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004789022,"about_ca_system_score_gemma":0.00001383479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428002,"about_ca_topic_score_gemma":3.878167e-7,"domain_scores_codex":[0.9995151,0.000006135552,0.0001298214,0.0001058238,0.0001896959,0.00005347955],"domain_scores_gemma":[0.9996725,0.00002172066,0.0001501252,0.000004283253,0.0001439017,0.000007435629],"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":[0.00004755376,0.000007509707,0.003243562,0.00002095,0.000003377515,4.358302e-10,0.00007174328,0.00002562332,0.9959844,0.0003181029,0.0002088913,0.00006833748],"study_design_scores_gemma":[0.00009973955,0.00007832421,0.01874011,0.00002653259,0.000002730377,8.313793e-7,0.00004056532,0.002275284,0.9774728,0.001199323,0.00003712054,0.00002661845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990784,0.0001542674,0.00001438232,0.0001895766,0.000007293958,0.0001000775,0.000001202384,8.324351e-7,0.000453973],"genre_scores_gemma":[0.9992013,0.00003599582,0.000634441,0.00007062553,0.00004221173,0.000003821283,9.509336e-8,0.000001363013,0.0000101337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01851153,"threshold_uncertainty_score":0.1276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921943694958629,"score_gpt":0.2910984231960215,"score_spread":0.2618789862464352,"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."}}