{"id":"W4394419650","doi":"10.6084/m9.figshare.3206668.v1","title":"Data bat skin microbiome","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microbiome; Biology; Computational biology; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.001131392,0.0009326977,0.001180525,0.002560635,0.0006441395,0.001654262,0.001565201,0.001767711,0.04524945],"category_scores_gemma":[0.007578087,0.0004985622,0.001250517,0.003415621,0.0003349616,0.0009550984,0.002114579,0.001374932,0.02537975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009425949,"about_ca_system_score_gemma":0.001695209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01677577,"about_ca_topic_score_gemma":0.03054752,"domain_scores_codex":[0.9987884,0.0002356133,0.0002502046,0.0003805311,0.0002060983,0.0001391722],"domain_scores_gemma":[0.9972318,0.0006664706,0.0005683813,0.0004842147,0.0007804767,0.0002687261],"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":[0.0005101085,0.00006447094,0.02790808,0.008626216,0.0004205838,0.0001313791,0.0002138013,0.0008794951,0.001316276,0.001155544,0.9433308,0.01544324],"study_design_scores_gemma":[0.0003890168,0.00004906685,0.05474094,0.002067784,0.0002027231,0.0002421042,0.0002525843,0.0004940476,0.0007091343,0.001280453,0.9395136,0.00005854237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006602286,0.0003169081,0.00008926279,0.00008656005,0.00001857788,0.00002277562,0.9979987,0.0001139085,0.0006931623],"genre_scores_gemma":[0.003001156,0.0002966896,0.0007908584,0.0001457071,0.00001487376,0.0002133546,0.9947417,0.00005921728,0.0007364813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04524945,"threshold_uncertainty_score":0.1513745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969069219536273,"score_gpt":0.2964552678138225,"score_spread":0.2367645756184598,"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."}}