{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008465709,0.0005635177,0.0003418739,0.0005543166,0.0003052709,0.0004490341,0.000358837,0.0005379182,0.0006526965],"category_scores_gemma":[0.0007432877,0.0002177465,0.0002880396,0.000552361,0.0003116163,0.0002813492,0.000333479,0.0006258562,0.0003493846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002718,"about_ca_system_score_gemma":0.0002197308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005940435,"about_ca_topic_score_gemma":0.0009691585,"domain_scores_codex":[0.9991449,0.0001515454,0.00004726125,0.0002960489,0.0003008011,0.00005948167],"domain_scores_gemma":[0.9995037,0.0001680143,0.00008637732,0.00009046932,0.0001227976,0.00002852108],"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":[0.00004256986,0.0000290939,0.002980405,0.00002595141,0.000008850455,0.000007516981,0.00002277065,0.0001892199,0.9940749,0.00002412128,0.00002339612,0.002571228],"study_design_scores_gemma":[0.000002470292,0.0001643103,0.02107217,0.000005493937,0.00002346266,0.00004083587,0.00002452514,0.002841133,0.9751529,0.00004087249,0.0006211821,0.00001069437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9181498,0.0007458025,0.07814548,0.0000359908,0.00003034627,0.0001496505,0.001323858,0.0003859789,0.001033041],"genre_scores_gemma":[0.9312248,0.000439638,0.06403549,0.00005613612,0.00001322817,0.0003646506,0.002142964,0.0001175083,0.001605622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008465709,"threshold_uncertainty_score":0.004477143,"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."}}