{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001999658,0.0004865113,0.0007835703,0.0001518465,0.0001998986,0.00002009083,0.003076868,0.001955776,0.7417143],"category_scores_gemma":[0.002757805,0.0003561175,0.0001655296,0.00008375691,0.0000755314,0.0001417567,0.001546523,0.0008796323,0.2332262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004221904,"about_ca_system_score_gemma":0.0001823278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003198023,"about_ca_topic_score_gemma":0.0001012748,"domain_scores_codex":[0.9973428,0.000443509,0.0004996446,0.0009858275,0.00002967809,0.0006986019],"domain_scores_gemma":[0.9954067,0.0009750383,0.0004008022,0.003101891,0.00007680797,0.00003876382],"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":[0.00004189574,0.00003797565,5.097449e-7,0.0001195655,0.0003607279,0.00002514279,0.000001593393,3.734108e-8,0.000345738,0.000001086467,0.9977147,0.001351058],"study_design_scores_gemma":[0.0007328647,0.00004711039,0.00003273218,0.001141678,0.00008234555,0.0001241573,0.000002471833,1.261829e-7,0.000159469,0.0000161162,0.9972081,0.0004527844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.504349e-7,0.008020579,2.55871e-7,0.0003525407,0.001028023,0.0003223081,0.9899296,0.0000832877,0.0002629929],"genre_scores_gemma":[0.000005657931,0.000124691,0.000002687433,0.001368827,0.0003697113,0.0001704238,0.9923859,0.00002841427,0.005543724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5084881,"threshold_uncertainty_score":0.9998891,"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."}}