{"id":"W4386929590","doi":"10.3389/fbioe.2023.1193424","title":"Microalgal co-cultivation -recent methods, trends in omic-studies, applications, and future challenges","year":2023,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidad Autónoma de Nuevo León; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Greenhouse gas; Environmental science; Context (archaeology); Biomass (ecology); Population; Biotechnology; Monoculture; Environmental engineering; Biochemical engineering; Biology; Ecology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004910588,0.0004118212,0.001188233,0.001562269,0.00006150989,0.000009771202,0.0001756496,0.001810091,0.000002028039],"category_scores_gemma":[0.0000502508,0.0003412756,0.0000657315,0.0009821403,0.0002400814,0.00004158342,0.0001104728,0.0007864164,0.000004043865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903299,"about_ca_system_score_gemma":0.00001707596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166995,"about_ca_topic_score_gemma":0.00003675031,"domain_scores_codex":[0.9982153,0.0001333802,0.0005121693,0.0007423118,0.00004635365,0.0003505185],"domain_scores_gemma":[0.9994657,0.00005021586,0.0001531886,0.0002785299,0.00001904243,0.00003330494],"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":[0.00000692914,0.00001647344,0.000009867039,0.00253564,0.0001507916,0.000004008193,0.00004539391,0.00000159379,0.00003294666,0.001869418,0.0005160361,0.9948109],"study_design_scores_gemma":[0.0001802959,0.00004113142,0.00004349959,0.0005739642,0.00007163166,0.0000421719,0.0003202833,0.00002787675,0.00009428814,0.0004740961,0.9977883,0.0003425056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001779537,0.995616,0.0004658241,0.002320376,0.0009337991,0.0003194519,0.00002232478,0.0002806411,0.0000238276],"genre_scores_gemma":[0.000005007406,0.9869978,0.01201085,0.00001120014,0.0003356533,0.0002603987,0.0002680405,0.00003968401,0.00007136083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9972722,"threshold_uncertainty_score":0.9999039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155562500801794,"score_gpt":0.344137460695261,"score_spread":0.2925818356872431,"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."}}