{"id":"W2980731866","doi":"10.6084/m9.figshare.9740702.v1","title":"Additional file 6: of Comparative diversity of microbiomes and Resistomes in beef feedlots, downstream environments and urban sewage influent","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Sewage; Downstream (manufacturing); Diversity (politics); Environmental engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001460481,0.001383438,0.001335515,0.003000535,0.001650729,0.001749442,0.0021623,0.001079257,0.8445982],"category_scores_gemma":[0.01240067,0.0005938762,0.001265171,0.004356488,0.0003683922,0.001561769,0.001253528,0.0008938995,0.1205762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592414,"about_ca_system_score_gemma":0.003034075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05475527,"about_ca_topic_score_gemma":0.1149788,"domain_scores_codex":[0.9994006,0.00005603509,0.00006790405,0.0001549922,0.0001690159,0.0001513714],"domain_scores_gemma":[0.9916265,0.005232099,0.0003827326,0.0005680261,0.001778665,0.0004118872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003970008,0.0001373371,0.006192508,0.004099145,0.0001078751,0.0001164794,0.000167911,0.0008611039,0.0006794245,0.0004515135,0.9766697,0.01012008],"study_design_scores_gemma":[0.005506465,0.0003782759,0.1318502,0.004704096,0.0004745644,0.0006705801,0.001840119,0.004469798,0.003410091,0.006250878,0.8400487,0.0003962978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002094679,0.000006461869,0.0001274897,0.00002537352,0.00001228472,0.00003095518,0.9990446,0.000225609,0.0003177146],"genre_scores_gemma":[0.007429123,0.00007917183,0.004464608,0.0002430765,0.00003916607,0.0009053877,0.9796391,0.0008574009,0.006343071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445982,"threshold_uncertainty_score":0.2216617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363135843707781,"score_gpt":0.1890756495557452,"score_spread":0.1754442911186674,"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."}}