{"id":"W4394443223","doi":"10.6084/m9.figshare.3206668.v8","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; Evolutionary biology; Genetics","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":[0.001203569,0.0009859153,0.001056963,0.002129919,0.0006643796,0.001568933,0.001553926,0.001678754,0.02963329],"category_scores_gemma":[0.007175883,0.0005315476,0.001063598,0.002776252,0.0003178353,0.0007672361,0.002016538,0.00142056,0.02210575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014999,"about_ca_system_score_gemma":0.001763818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078312,"about_ca_topic_score_gemma":0.03806743,"domain_scores_codex":[0.9989282,0.0002204734,0.0001631571,0.0003733594,0.0001846336,0.0001302019],"domain_scores_gemma":[0.9977201,0.0004934135,0.0003951561,0.000466975,0.0006590945,0.0002652343],"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":[0.0005182358,0.00009692174,0.03384975,0.004544238,0.00040575,0.0001815111,0.0002809109,0.001124319,0.001225526,0.001571295,0.9426538,0.01354789],"study_design_scores_gemma":[0.0003650795,0.00004730023,0.05458591,0.001367102,0.0001740456,0.0002537091,0.000281537,0.0005220046,0.0007625445,0.001637257,0.9399441,0.00005945194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001096173,0.0002391199,0.0001334097,0.00008381156,0.00002197011,0.00002168824,0.9975373,0.0001169531,0.0007495372],"genre_scores_gemma":[0.003318913,0.0001841057,0.0008722948,0.0001126042,0.00001463302,0.0002097418,0.9944015,0.00006460734,0.0008216096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02963329,"threshold_uncertainty_score":0.09913319,"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."}}