{"id":"W4318481047","doi":"10.3390/agriculture13020326","title":"Prairie Agroecosystems: Interconnected Microbiomes of Livestock, Soil and Insects","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada; Government of Alberta","keywords":"Microbiome; Agroecosystem; Biology; Agriculture; Livestock; Ecology; Nutrient cycle; Sustainable agriculture; Agroforestry; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001265481,0.0001537238,0.000234228,0.00001961942,0.0001305708,0.00006045074,0.000171227,0.0001458848,0.00008469226],"category_scores_gemma":[0.00004344169,0.00004717172,0.0000757738,0.0006448372,0.00006447493,0.0001367335,0.00009389386,0.00007981146,0.00004583407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008336939,"about_ca_system_score_gemma":0.000005090707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007098462,"about_ca_topic_score_gemma":0.001733828,"domain_scores_codex":[0.9991043,0.00006690605,0.0002398035,0.0002500227,0.0001088714,0.0002300926],"domain_scores_gemma":[0.9995173,0.0001285523,0.0001311669,0.00004154719,0.0001150705,0.00006640613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000101968,0.00002933184,0.003646285,0.00003086689,0.0000203185,0.000003214449,0.0003088193,4.437781e-7,0.9849338,0.0001468438,0.008901528,0.001968357],"study_design_scores_gemma":[0.0001865796,0.0004733849,0.7936445,0.0001849984,0.00002068262,0.00003404545,0.001714749,0.000004983344,0.1789812,0.0002003365,0.02424544,0.0003090463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976465,0.0002209547,5.319479e-8,0.001245578,0.0002036148,0.0001896674,0.00008646055,0.0001284769,0.0002786893],"genre_scores_gemma":[0.9991282,0.00007016481,0.00001108221,0.0001082477,0.0002222724,0.00001566679,0.0001379108,8.260593e-7,0.0003056086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8059526,"threshold_uncertainty_score":0.1923607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174455188611179,"score_gpt":0.1967325996592542,"score_spread":0.1849880477731424,"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."}}