{"id":"W2512668895","doi":"10.1038/ncomms12699","title":"Photon management for augmented photosynthesis","year":2016,"lang":"en","type":"review","venue":"Nature Communications","topic":"Algal biology and biofuel production","field":"Energy","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Photosynthesis; Biofuel; Biochemical engineering; Environmental science; Solar fuel; Algae; Cyanobacteria; Solar energy; Artificial photosynthesis; Productivity; Photosynthetic efficiency; Biomass (ecology); Bioenergy; Light energy; Nanotechnology; Chemistry; Materials science; Biotechnology; Biology; Ecology; Botany; Physics; Photocatalysis; Engineering; Bacteria","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":[0.0002977216,0.0007094402,0.000641321,0.001579553,0.0003089307,0.0007850208,0.0007207958,0.001125698,0.003703299],"category_scores_gemma":[0.0003052476,0.0002769209,0.0006476164,0.001186042,0.0003135136,0.001271231,0.0006746025,0.001513103,0.00214926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989028,"about_ca_system_score_gemma":0.0004217966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00062653,"about_ca_topic_score_gemma":0.0009281297,"domain_scores_codex":[0.999842,0.00001906038,0.00001275187,0.00003665088,0.00007136463,0.00001811004],"domain_scores_gemma":[0.9999081,0.00003602642,0.00001613913,0.000006021211,0.00002634373,0.000007388594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005081584,0.00009854244,0.0001671691,0.01268379,0.00008095898,0.000354877,0.00007878833,0.0009341416,0.02244835,0.01477858,0.02274272,0.9255813],"study_design_scores_gemma":[0.000007908036,0.00007844682,0.0003776826,0.001170377,0.0000541226,0.001167576,0.00003330443,0.0003656537,0.009775656,0.002971612,0.9839766,0.00002104735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008386479,0.9897878,0.002141639,0.0003556135,0.000403231,0.00001563731,0.00003208703,0.00003752807,0.006387759],"genre_scores_gemma":[0.008880379,0.9849701,0.002026843,0.0003292634,0.0002425235,0.00002258926,0.00005930005,0.000009841253,0.003459194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003703299,"threshold_uncertainty_score":0.01238877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789713478483603,"score_gpt":0.3476469004751626,"score_spread":0.2997497656903265,"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."}}