{"id":"W2995630672","doi":"10.1038/s41598-019-55870-9","title":"Fast media optimization for mixotrophic cultivation of Chlorella vulgaris","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Algal biology and biofuel production","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; BioFuelNet Canada; Alexander von Humboldt-Stiftung","keywords":"Mixotroph; Response surface methodology; Biomass (ecology); Chlorella vulgaris; Food science; Nutrient; Nitrogen; Dry weight; Carbon fibers; Chemistry; Pulp and paper industry; Botany; Biology; Chromatography; Materials science; Algae; Heterotroph; Agronomy","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":[0.0005000581,0.000870886,0.0006123465,0.0006175269,0.000301299,0.0008447828,0.000449526,0.0003521681,0.0004707096],"category_scores_gemma":[0.0003955275,0.0002642129,0.0007181561,0.0005238246,0.0001853841,0.0003353507,0.0007855783,0.0004484039,0.0002387362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000590743,"about_ca_system_score_gemma":0.0004065952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117869,"about_ca_topic_score_gemma":0.002943158,"domain_scores_codex":[0.9996704,0.00004017178,0.00003990058,0.00005738872,0.0001612374,0.00003085614],"domain_scores_gemma":[0.9998658,0.00003741595,0.00003404744,0.00001199543,0.00003682357,0.00001386357],"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":[0.0002503976,0.00009361896,0.0006007869,0.0002488236,0.00002386344,0.00008869483,0.00004167288,0.01526768,0.9729887,0.0001715548,0.00006471334,0.01015946],"study_design_scores_gemma":[0.00002637045,0.0005771105,0.002279046,0.00002533145,0.00005181833,0.00004685769,0.00006047261,0.02679921,0.9667425,0.0001829397,0.003173804,0.00003449295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323603,0.002213027,0.06060764,0.00008454252,0.00006019149,0.0002504033,0.0007957832,0.0003231298,0.003304894],"genre_scores_gemma":[0.9349633,0.001770358,0.05984752,0.00003613036,0.00001094319,0.0005062448,0.0009359222,0.00007924924,0.001850315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117869,"threshold_uncertainty_score":0.00428617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121798345941026,"score_gpt":0.2256868114524822,"score_spread":0.2135069768583795,"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."}}