{"id":"W2104875481","doi":"10.1007/s11120-012-9729-6","title":"Optimization of variable fluorescence measurements of phytoplankton communities with cyanobacteria","year":2012,"lang":"en","type":"article","venue":"Photosynthesis Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"Academy of Finland; Centre National de la Recherche Scientifique; European Commission","keywords":"Cyanobacteria; Fluorometer; Photosystem II; Fluorescence; Chlorophyll fluorescence; Photosynthesis; Phytoplankton; Chlorophyll a; Algae; Photochemistry; Chemistry; Botany; Physics; Biology; Nutrient; Ecology; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000911395,0.000682169,0.000457476,0.0002832977,0.0004170942,0.0004719689,0.0005437352,0.0003747935,0.0002492097],"category_scores_gemma":[0.002711092,0.0003233754,0.000447544,0.0004125678,0.0003456176,0.0004369679,0.0006073369,0.0003609015,0.000114771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079235,"about_ca_system_score_gemma":0.0007525398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488974,"about_ca_topic_score_gemma":0.002861233,"domain_scores_codex":[0.9994474,0.0001496283,0.00002513287,0.0001872433,0.0001337097,0.00005689229],"domain_scores_gemma":[0.9991468,0.0004206476,0.0001097399,0.00006377802,0.0002026532,0.00005645291],"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":[0.0007259052,0.0002712174,0.01851199,0.0001656796,0.00005641644,0.0000820176,0.0001550459,0.2299397,0.7377268,0.000783548,0.00007248666,0.01150917],"study_design_scores_gemma":[0.00008134378,0.0008746407,0.0110326,0.00001266855,0.00005516955,0.00007015643,0.0001559463,0.4175303,0.5689369,0.0007603149,0.0004464776,0.00004356561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760073,0.00003618434,0.02339699,0.0000200044,0.00000238803,0.00003535545,0.0001012988,0.00009048163,0.0003099565],"genre_scores_gemma":[0.9780837,0.00004369669,0.02154079,0.000007594469,8.04782e-7,0.00007096137,0.0001450145,0.0000163661,0.00009104498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003488974,"threshold_uncertainty_score":0.007830381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08848883069149815,"score_gpt":0.275198954663361,"score_spread":0.1867101239718628,"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."}}