{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631929,0.0003202546,0.0002502354,0.0003802836,0.0004151838,0.0003272974,0.0001924977,0.0002153595,0.0003507038],"category_scores_gemma":[0.0002405959,0.00008143945,0.0001894851,0.0004585297,0.0002960152,0.0001558896,0.0002049049,0.0001685864,0.00005329083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005585704,"about_ca_system_score_gemma":0.0002746371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.041265,"about_ca_topic_score_gemma":0.09834594,"domain_scores_codex":[0.9998997,0.00001420166,0.000003985457,0.00003719564,0.00001379967,0.00003110558],"domain_scores_gemma":[0.9998416,0.00003654484,0.00005029335,0.00001600852,0.00002342731,0.00003209037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008198305,0.0006080077,0.8419263,0.00009982647,0.00009866271,0.003805994,0.002215944,0.0009642444,0.1187287,0.00008551445,0.0001446059,0.0305022],"study_design_scores_gemma":[0.000003339325,0.0002145661,0.9946048,0.000005556443,0.00002297175,0.0002586141,0.001065475,0.0006333576,0.002917336,0.00001750669,0.0002501118,0.000006501328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999877,0.00001977868,0.00003044024,0.00000265892,1.080991e-7,0.000001833418,0.00002036952,8.471345e-7,0.00004698904],"genre_scores_gemma":[0.9995015,0.00005272942,0.0002632866,0.000004190641,7.378165e-7,0.00000200344,0.00005410376,0.000001107462,0.0001203933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.041265,"threshold_uncertainty_score":0.08204967,"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."}}