{"id":"W2749046585","doi":"10.1093/gigascience/gix077","title":"The sponge microbiome project","year":2017,"lang":"en","type":"article","venue":"GigaScience","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":257,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"John Templeton Foundation; Gordon and Betty Moore Foundation; W. M. Keck Foundation; Howard Hughes Medical Institute","keywords":"Biology; Microbiome; Sponge; Phylum; 16S ribosomal RNA; Metagenomics; Clade; Taxon; Environmental DNA; Microbial ecology; Evolutionary biology; UniFrac; Phylogenetics; Ecology; Computational biology; Biodiversity; Gene; Genetics; Paleontology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720816,0.0009636827,0.0009246547,0.003174863,0.00101712,0.002378134,0.001070482,0.000624373,0.03013438],"category_scores_gemma":[0.005717514,0.0004032616,0.0009171719,0.003217019,0.0003189459,0.001114352,0.005282033,0.001124614,0.02479737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007347935,"about_ca_system_score_gemma":0.003235079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00496346,"about_ca_topic_score_gemma":0.009003523,"domain_scores_codex":[0.9977901,0.0006630699,0.000229665,0.0004289086,0.0006263509,0.0002618453],"domain_scores_gemma":[0.9978399,0.0003291137,0.0003114129,0.0003110876,0.0007187345,0.0004897003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001009158,0.00009016066,0.02214204,0.005490094,0.0004483098,0.0004860508,0.001038737,0.0007833048,0.009024557,0.003739701,0.7622427,0.1935052],"study_design_scores_gemma":[0.00009059812,0.00007116305,0.02300307,0.00106408,0.0001347409,0.0005214994,0.0003023295,0.0005276377,0.00106247,0.001890516,0.971272,0.00006003833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01709792,0.007984081,0.007850936,0.001801691,0.0007274426,0.0005808981,0.9290214,0.003218724,0.03171699],"genre_scores_gemma":[0.02867066,0.006128357,0.02859446,0.00124686,0.0002093022,0.00133567,0.9191888,0.001584638,0.01304123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03013438,"threshold_uncertainty_score":0.1008095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393756665703759,"score_gpt":0.29454210247841,"score_spread":0.2806045358213724,"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."}}