{"id":"W4389440206","doi":"10.3389/fmicb.2023.1225503","title":"Improvement in gravel-mulched land soil nutrient and bacterial community diversity with Lonicera japonica","year":2023,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Modern Agricultural Technology Industry System of Shandong province; Natural Science Foundation of Ningxia Province","keywords":"Rhizosphere; Firmicutes; Agronomy; Japonica; Biology; Microbial population biology; Proteobacteria; Ecology; Botany; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597621,0.0006179723,0.0004275112,0.0004405932,0.000322348,0.0003694075,0.0003746967,0.0002415195,0.0005440738],"category_scores_gemma":[0.0001615062,0.0002476566,0.0004431211,0.0003080953,0.0002799624,0.0004775997,0.0004398992,0.000422614,0.0001336852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381752,"about_ca_system_score_gemma":0.0003233921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245763,"about_ca_topic_score_gemma":0.006255409,"domain_scores_codex":[0.9998486,0.00001760027,0.00001876418,0.00005893724,0.00002292668,0.00003323434],"domain_scores_gemma":[0.9997581,0.00001571553,0.00006157027,0.00001643396,0.00003022215,0.0001178479],"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":[0.0002502865,0.0001627004,0.01033592,0.00009641934,0.00002448305,0.0001259193,0.0001297275,0.00005513612,0.9857268,0.00002084708,0.00002125413,0.003050533],"study_design_scores_gemma":[0.00006740642,0.002984992,0.8911517,0.00002903776,0.0001194986,0.0003432674,0.0006309275,0.001369431,0.1016826,0.00004603418,0.001537072,0.00003800503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995494,0.0001531106,0.0001041151,0.00001337785,0.000003545298,0.000005583785,0.00004185256,0.000008739912,0.0001201935],"genre_scores_gemma":[0.9977817,0.0002037241,0.0007626349,0.00005860192,0.000005301197,0.00002450533,0.0003468453,0.000007200103,0.0008093998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003245763,"threshold_uncertainty_score":0.006453753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059242289945716,"score_gpt":0.1875728563055629,"score_spread":0.1769804334061057,"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."}}