{"id":"W4406703564","doi":"10.3390/microorganisms13020233","title":"Microbiome Engineering for Sustainable Rice Production: Strategies for Biofertilization, Stress Tolerance, and Climate Resilience","year":2025,"lang":"en","type":"review","venue":"Microorganisms","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Bangladesh Academy of Sciences","keywords":"Microbiome; Biology; Phyllosphere; Rhizosphere; Biotechnology; Beneficial organism; Abiotic stress; Metagenomics; Microorganism; Genetics; Gene; 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":[0.000635326,0.0007113246,0.0007152627,0.000662514,0.0003988405,0.001369776,0.000327853,0.0006924232,0.001803901],"category_scores_gemma":[0.0004466431,0.0001848875,0.0005553844,0.0006269427,0.0006355001,0.001494272,0.001032645,0.001088766,0.0007984548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227722,"about_ca_system_score_gemma":0.00148958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007132184,"about_ca_topic_score_gemma":0.001215123,"domain_scores_codex":[0.9997452,0.00005421892,0.00002142155,0.00005407882,0.00007731128,0.00004775203],"domain_scores_gemma":[0.9998277,0.00004299901,0.00004368939,0.00001083118,0.00003872527,0.00003586472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002475008,0.00008465172,0.002171444,0.0166604,0.0001904386,0.0005385085,0.0004978129,0.001680208,0.4413128,0.02344591,0.0136407,0.4995296],"study_design_scores_gemma":[0.00002437613,0.0003834426,0.004407957,0.001824806,0.0002624968,0.001087851,0.0005298418,0.001376564,0.08331685,0.01281883,0.8938931,0.00007387459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0299789,0.9085745,0.03744402,0.008076751,0.002001748,0.00009037444,0.000623155,0.000564346,0.01264621],"genre_scores_gemma":[0.1418345,0.8134481,0.03296322,0.002405325,0.0007450717,0.0001167258,0.000677221,0.0001382338,0.0076716],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001803901,"threshold_uncertainty_score":0.006034672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144242615948944,"score_gpt":0.2513424076424827,"score_spread":0.2369181460475883,"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."}}