{"id":"W2984879582","doi":"10.1016/j.algal.2019.101713","title":"Photosynthetic electron transport transients in Chlorella vulgaris under fluctuating light","year":2019,"lang":"en","type":"article","venue":"Algal Research","topic":"Algal biology and biofuel production","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Horizon 2020 Framework Programme; Akademie Věd České Republiky; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; European Commission; New Brunswick Innovation Foundation; Canada Foundation for Innovation; Diabetes Canada","keywords":"Photobioreactor; Chlorella vulgaris; Photosynthesis; Irradiance; Photosystem II; Electron transport chain; Chlorella; Botany; Biology; Biomass (ecology); Algae; Ecology; Physics; Optics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001501026,0.0001597357,0.0002160326,0.0002856423,0.0001362878,0.0000173052,0.0002875104,0.0002786499,0.001492588],"category_scores_gemma":[0.00006314475,0.0001360026,0.00007270658,0.0006676788,0.0001128042,0.0001185573,0.00002881634,0.0009188967,0.001457063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512446,"about_ca_system_score_gemma":0.0001110521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001657262,"about_ca_topic_score_gemma":0.0009623731,"domain_scores_codex":[0.9974695,0.0002969957,0.0002923979,0.000571162,0.0005315866,0.0008383597],"domain_scores_gemma":[0.9992734,0.0001442371,0.00003005984,0.0003512813,0.0001158038,0.00008527929],"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":[0.0008210689,0.0002610737,0.016701,0.00009504498,0.00006191333,0.00002524605,0.00108201,0.0003394891,0.959771,0.008542427,0.0001410957,0.01215857],"study_design_scores_gemma":[0.001514577,0.0008449112,0.06023176,0.0001122711,0.00001459677,0.00002471837,0.0004272529,0.0005159297,0.8996356,0.008423946,0.02777339,0.0004810903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522511,0.0002812836,0.00001105913,0.001038772,0.0001986814,0.0003791857,0.000001649458,0.00004552518,0.04579269],"genre_scores_gemma":[0.9957416,0.0001056281,0.00002360532,0.00007150156,0.0001238588,0.00003352147,0.00003619205,0.00002801244,0.003836091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06013549,"threshold_uncertainty_score":0.9994202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009497560296185,"score_gpt":0.3193931528169263,"score_spread":0.2892981772139644,"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."}}