{"id":"W3017156868","doi":"10.1186/s40168-020-00827-8","title":"Disentangling the mechanisms shaping the surface ocean microbiota","year":2020,"lang":"en","type":"article","venue":"Microbiome","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":288,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Horizon 2020 Framework Programme; Barcelona Supercomputing Center; Norges Forskningsråd; Ministerio de Economía y Competitividad; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biological dispersal; Abiotic component; Biology; Ecology; Ecological selection; Subtropics; Microbial ecology; Microbiome; Community; Biogeochemical cycle; Selection (genetic algorithm); Ecosystem; Genetics; Population","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002987951,0.0001677808,0.000150013,0.000007173689,0.0008258311,0.00004383227,0.001064794,0.00008723779,0.004415545],"category_scores_gemma":[0.00002130336,0.0001004175,0.00009464308,0.0003140992,0.0004540393,0.00007120536,0.0008859218,0.0003916522,0.001822111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005481867,"about_ca_system_score_gemma":0.000009200391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008365177,"about_ca_topic_score_gemma":0.0001381719,"domain_scores_codex":[0.9988572,0.0002830038,0.0001867387,0.0002662898,0.00005403765,0.0003527391],"domain_scores_gemma":[0.9993075,0.0001409574,0.00008087183,0.0004018229,0.000005638243,0.00006326448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001707416,0.00002221549,0.0006095487,0.000004449491,0.00001813707,0.000002782152,0.001773403,0.0004750621,0.9551778,0.0001730778,0.04164784,0.00007860117],"study_design_scores_gemma":[0.00145265,0.0003807713,0.007560164,0.00004212193,0.000163311,0.0001893968,0.003245558,0.003720589,0.3247389,0.004519831,0.6525914,0.001395279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775122,0.000105512,0.0002539126,0.02035867,0.0002342457,0.0003274101,0.00003628764,0.00006956705,0.001102199],"genre_scores_gemma":[0.9853545,0.00001326718,0.0003564669,0.01389804,0.00005047022,0.000001296155,0.00003390381,0.00001792856,0.0002741218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6304389,"threshold_uncertainty_score":0.9989551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241952074861522,"score_gpt":0.2135276353566233,"score_spread":0.1893324278704711,"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."}}