{"id":"W2125766054","doi":"10.1017/s1466252312000114","title":"Introduction to the series of papers on animal microbiomes","year":2012,"lang":"en","type":"article","venue":"Animal Health Research Reviews","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microbiome; Nothing; Biology; Environmental ethics; Computational biology; Epistemology; Bioinformatics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002777115,0.00009936624,0.0001762664,0.00005557126,0.0002108172,0.000008074872,0.0002456354,0.00007391042,0.00005059604],"category_scores_gemma":[0.0002221623,0.00006429257,0.00007685962,0.0002821774,0.0001358579,0.000003352503,0.0001354914,0.0001732329,0.00009016314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002587011,"about_ca_system_score_gemma":0.00006751222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000331978,"about_ca_topic_score_gemma":0.00002966603,"domain_scores_codex":[0.9983697,0.0005149904,0.000287532,0.0002571657,0.0001279749,0.0004426173],"domain_scores_gemma":[0.9991542,0.00001506338,0.00008350936,0.0005089989,0.00009165119,0.0001465959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000122013,0.00007031776,0.0001150927,0.00006587441,0.000006974884,6.721721e-8,0.00004301784,1.105785e-7,0.7360052,0.003997352,0.2428557,0.01671822],"study_design_scores_gemma":[0.00003291454,0.001678914,0.002308471,0.00001963503,0.000001665112,0.00001086446,0.00003451727,1.402229e-7,0.1018341,0.000005441831,0.8940212,0.00005216896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6366563,0.09242724,0.0004666022,0.2570388,0.0003285889,0.007536784,0.0001205026,0.00005134229,0.005373795],"genre_scores_gemma":[0.9585659,0.03100808,0.003394314,0.002849288,0.002221311,0.0006050063,0.0001285432,0.0000270195,0.001200551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6511654,"threshold_uncertainty_score":0.2621775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169806267281926,"score_gpt":0.4530055788400624,"score_spread":0.3360249521118697,"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."}}