{"id":"W3123911922","doi":"10.1038/s41564-020-00857-w","title":"Microbiome innovations for a sustainable future","year":2021,"lang":"en","type":"article","venue":"Nature Microbiology","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Hawkesbury Institute for the Environment, Western Sydney University; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Agriculture and Agri-Food Canada; Austrian Institute of Technology; Western Sydney University; Directorate-General for Research and Innovation; AgroParisTech; European Commission; Horizon 2020 Framework Programme; AgResearch","keywords":"Microbiome; Sustainable development; Interface (matter); Business; Political science; Environmental planning; Environmental resource management; Biology; Geography; Ecology; Bioinformatics; Economics","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":[0.000214717,0.0001406142,0.0002007271,0.0000197344,0.0002965446,0.00004861804,0.0001892387,0.0006181686,0.0004227523],"category_scores_gemma":[0.0001010236,0.00006123986,0.0001042195,0.0005152718,0.00006375521,0.00007190102,0.0001090624,0.0002985414,0.00001447975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009417426,"about_ca_system_score_gemma":0.00009445129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008496716,"about_ca_topic_score_gemma":0.0001856159,"domain_scores_codex":[0.9988668,0.00005313789,0.0002105931,0.0003973778,0.00001972817,0.0004523702],"domain_scores_gemma":[0.9989904,0.0001286525,0.00005650937,0.00007352804,0.0007076966,0.00004319368],"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":[0.00003681567,0.0001136176,0.0007314336,0.00004113586,0.0000377216,0.00002091995,0.000063361,1.725855e-7,0.8726371,0.06918692,0.04364605,0.01348475],"study_design_scores_gemma":[0.0001855226,0.00006050144,0.003386969,0.000002632122,0.000005909403,0.00007485076,0.001648091,3.1346e-7,0.03642022,0.002980695,0.9550657,0.0001685483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456741,0.002455723,0.00004645338,0.04919722,0.0006004673,0.0006315156,0.0002309932,0.00009559421,0.001067979],"genre_scores_gemma":[0.9643242,0.00004045134,0.0030817,0.01326253,0.00099392,0.000129802,0.003560004,0.000002384377,0.01460504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9114197,"threshold_uncertainty_score":0.4767882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004528682906316229,"score_gpt":0.2103543005913711,"score_spread":0.2058256176850549,"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."}}