{"id":"W4414705394","doi":"10.1038/s41598-025-16393-8","title":"Soil moisture gradients shape microbial communities and influence cranberry yield: a case study on subirrigation","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Moisture; Nitrate; Nitrogen; Water table; Soil water; 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":[0.0008388637,0.0001435174,0.0001553345,0.00005457454,0.001115095,0.0004408595,0.0001554648,0.00006364681,0.00001469741],"category_scores_gemma":[0.0001350968,0.00006631458,0.00004526476,0.0004310508,0.0001989641,0.0001108913,0.0001826579,0.0001812156,0.000001730008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002543328,"about_ca_system_score_gemma":0.00001582025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006701166,"about_ca_topic_score_gemma":0.006344669,"domain_scores_codex":[0.9987805,0.00009942624,0.0003153897,0.0004173147,0.0001898264,0.0001974781],"domain_scores_gemma":[0.999223,0.0002163709,0.0001454847,0.0002114757,0.0001487068,0.00005499546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003531691,0.0006569842,0.4949939,0.00002783157,0.00002602324,0.002222474,0.002964907,0.00001766673,0.4703618,0.0000381259,0.003549127,0.02510591],"study_design_scores_gemma":[0.0003466119,0.0008814586,0.929365,0.0009751637,0.00009822847,0.006122226,0.0149738,0.0003882358,0.03136,0.008463681,0.006147236,0.0008783882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979585,0.00003137551,8.072557e-7,0.0002241751,0.0008274197,0.000358866,0.000004573501,0.00021201,0.0003822461],"genre_scores_gemma":[0.9994217,0.000001224877,0.00003257821,0.00008846491,0.00002943036,0.00001746642,0.0000244766,8.785894e-7,0.0003838279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4390017,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742278504981563,"score_gpt":0.2622988860525095,"score_spread":0.2348761010026938,"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."}}