{"id":"W4399046710","doi":"10.1002/mlf2.12124","title":"Harnessing marine microbiomes to develop a sustainable, all‐Atlantic bioeconomy","year":2024,"lang":"en","type":"article","venue":"mLife","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"NOAA Ocean Exploration; National Oceanic and Atmospheric Administration; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microbiome; Geography; Environmental planning; Environmental resource management; Fishery; Environmental ethics; Biology; Environmental science; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002523813,0.0007127509,0.0006483356,0.0009222408,0.001104011,0.004341679,0.0006512546,0.001535262,0.005228512],"category_scores_gemma":[0.002089254,0.0002852578,0.0006927816,0.0005240466,0.001299713,0.003961615,0.006888662,0.00222323,0.001839284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008870232,"about_ca_system_score_gemma":0.002735694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013316,"about_ca_topic_score_gemma":0.002456111,"domain_scores_codex":[0.9992211,0.0001994471,0.00004748275,0.00009728882,0.0002122494,0.0002223858],"domain_scores_gemma":[0.998962,0.0001588488,0.0001471526,0.0001057834,0.0001841054,0.0004420528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002878978,0.0002537034,0.01706301,0.003675756,0.0002988472,0.0007777587,0.001981099,0.002855478,0.3434325,0.04157562,0.03272956,0.5550687],"study_design_scores_gemma":[0.00008982231,0.001342341,0.04153703,0.003347508,0.0003767501,0.001068293,0.006007358,0.006489086,0.05680477,0.07616413,0.8065901,0.0001827898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.375163,0.2474205,0.1461308,0.109161,0.008540499,0.0008064055,0.005107346,0.002672483,0.104998],"genre_scores_gemma":[0.7226658,0.1336361,0.1017283,0.02130691,0.002274101,0.0004671978,0.002435036,0.0003519948,0.01513467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005228512,"threshold_uncertainty_score":0.01749116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021756445077158,"score_gpt":0.242019952936143,"score_spread":0.2318023884853714,"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."}}