{"id":"W3175584175","doi":"","title":"A road map to finding microbiomes that most contribute to plant and soil health","year":2021,"lang":"en","type":"article","venue":"Journal of Geography & Natural Disasters","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cropping; Productivity; Soil health; Agronomy; Microbiome; Acre; Geography; Environmental science; Agriculture; Biology; Soil water; Ecology; Soil organic matter","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":[0.003534252,0.001534457,0.001216223,0.004155474,0.002046465,0.006810708,0.001746491,0.003537231,0.01069644],"category_scores_gemma":[0.005833898,0.0006021236,0.001054501,0.0019814,0.001641939,0.006104663,0.003391074,0.004083015,0.003255221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680068,"about_ca_system_score_gemma":0.008381377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02414384,"about_ca_topic_score_gemma":0.0454502,"domain_scores_codex":[0.9988288,0.0002533111,0.0001200183,0.0002786871,0.0002759443,0.0002431408],"domain_scores_gemma":[0.9939569,0.0014396,0.0007500497,0.0004135858,0.002023071,0.001416701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005864916,0.00056371,0.1354038,0.006100698,0.0006825075,0.001627356,0.003505271,0.002245477,0.04005327,0.01792913,0.1141463,0.677156],"study_design_scores_gemma":[0.0001267958,0.001281328,0.3355649,0.006640977,0.0006133003,0.0018827,0.02386821,0.007761483,0.005210952,0.1344489,0.4821502,0.0004503497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1744166,0.3271573,0.0805717,0.348537,0.002798374,0.001358799,0.01727156,0.003017035,0.04487158],"genre_scores_gemma":[0.4184032,0.2019964,0.299719,0.04003875,0.002285341,0.001163662,0.01475171,0.0004772022,0.02116463],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02414384,"threshold_uncertainty_score":0.04800665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072249717517398,"score_gpt":0.2273975320521069,"score_spread":0.2166750348769329,"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."}}