{"id":"W2586196663","doi":"10.1002/bit.26261","title":"Light dilution via wavelength management for efficient high‐density photobioreactors","year":2017,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Algal biology and biofuel production","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Photobioreactor; Wavelength; Dilution; Light intensity; Monochromatic color; Absorption (acoustics); Visible spectrum; Optics; Materials science; Optoelectronics; Biomass (ecology); Biology; Physics; Ecology","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":[0.0001509308,0.0001668147,0.0001612438,0.0001180412,0.0004898698,0.00002386906,0.0001887598,0.0004724469,0.000005676733],"category_scores_gemma":[0.00003017987,0.0001391431,0.0000451801,0.00004814526,0.0001363978,0.00005189191,0.0001388826,0.000155324,0.00001298219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000369466,"about_ca_system_score_gemma":0.000002764351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009915466,"about_ca_topic_score_gemma":0.0000230186,"domain_scores_codex":[0.9991705,0.000006916943,0.0001391596,0.0003641529,0.00004396307,0.0002752956],"domain_scores_gemma":[0.9994375,0.000009763628,0.00008393826,0.0004111757,0.00002293941,0.00003464368],"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":[0.000171904,0.0001035792,0.0004536359,0.000169767,0.0002746513,0.00001616443,0.00003496425,0.0001073374,0.7211021,0.117028,0.0001239479,0.160414],"study_design_scores_gemma":[0.0006610022,0.000171743,0.01706794,0.00003094685,0.00008202012,0.00003655953,0.00003081072,0.004218594,0.9445921,0.001419516,0.03133592,0.000352841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851661,0.0001836729,0.009591126,0.002809238,0.001379576,0.0003037717,0.000005669234,0.0003650999,0.000195797],"genre_scores_gemma":[0.9976161,0.0001396384,0.001892028,0.00002248194,0.0001756511,0.00002727935,0.00001572704,0.00001197518,0.00009916569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22349,"threshold_uncertainty_score":0.5674092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007623989386713183,"score_gpt":0.2025230434797305,"score_spread":0.1948990540930174,"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."}}