{"id":"W2542542661","doi":"10.1002/lom3.10142","title":"Quantitating active photosystem II reaction center content from fluorescence induction transients","year":2016,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Mount Allison University; Canada Research Chairs; Imperial College London; University of Ottawa; Gordon and Betty Moore Foundation","keywords":"Photosystem II; Prochlorococcus; Photosynthetic reaction centre; Quenching (fluorescence); Photosynthesis; Chlorophyll fluorescence; Photochemistry; Absorbance; Photoinhibition; Chemistry; Fluorescence; Biological system; Biology; Physics; Cyanobacteria; Biochemistry; Synechococcus; Optics; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906172,0.0001731937,0.0001932344,0.00008914527,0.0001839655,0.000008703478,0.0001141902,0.0002691193,0.000008957],"category_scores_gemma":[0.0001103477,0.0001240516,0.0001008238,0.00009706381,0.0001350316,0.00001710819,0.00006637629,0.00009985013,0.000001364821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007223967,"about_ca_system_score_gemma":0.00001827861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001971967,"about_ca_topic_score_gemma":0.00001602885,"domain_scores_codex":[0.9987292,0.0002609918,0.0002150253,0.000469511,0.00007207524,0.000253254],"domain_scores_gemma":[0.9994362,0.00005633269,0.0001303397,0.0002181551,0.00007844293,0.00008055911],"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":[0.0002889014,0.0000610271,0.001034593,0.00001036579,0.0001008416,0.000001055385,0.0002133672,3.449685e-8,0.9467664,0.0002128961,0.000008298731,0.05130221],"study_design_scores_gemma":[0.0008425381,0.0004471874,0.002864671,0.00007218042,0.00003970147,0.0000304951,0.000512385,0.000008941945,0.9894242,0.000905639,0.004677613,0.0001745012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296477,0.0002875224,0.06891686,0.000167675,0.0005864667,0.0001606975,0.00006937523,0.00002762754,0.000136082],"genre_scores_gemma":[0.9839894,0.0007810494,0.01488246,0.0001296585,0.00009358686,0.00002451429,0.00003050915,0.00001554723,0.00005323028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05434176,"threshold_uncertainty_score":0.5058678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353713514583114,"score_gpt":0.3038173605236276,"score_spread":0.2684460090653162,"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."}}