{"id":"W7106251535","doi":"10.5683/sp3/3wzzuu","title":"Microbial Community Response to flooding","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Microbial population biology; Flooding (psychology); Biogeochemical cycle; Soil water; Ecosystem; Hydrology (agriculture); Soil ecology","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":[0.001350089,0.002247082,0.001427266,0.002142058,0.0008609864,0.001893608,0.001896951,0.001537949,0.008963147],"category_scores_gemma":[0.002997946,0.0005326741,0.001511134,0.003544047,0.0004345425,0.0006732052,0.001700167,0.001272534,0.01809699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295883,"about_ca_system_score_gemma":0.001255011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02720734,"about_ca_topic_score_gemma":0.05394059,"domain_scores_codex":[0.9988089,0.0001484505,0.0001135936,0.0003954413,0.0003400682,0.0001935818],"domain_scores_gemma":[0.9983231,0.0002455484,0.0003663776,0.0003751468,0.0004664639,0.0002231571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001003875,0.0002515583,0.06479491,0.003508962,0.0007791192,0.0001818287,0.0001829157,0.00295042,0.004931335,0.0006893436,0.9076531,0.01307261],"study_design_scores_gemma":[0.001382919,0.0003500858,0.3074142,0.000569067,0.0004766214,0.0003877322,0.000322818,0.003303266,0.004371045,0.001805942,0.6794301,0.0001860576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002530153,0.0001172149,0.00005130819,0.00003357718,0.00002188828,0.000009524238,0.9965923,0.0002013288,0.0004426074],"genre_scores_gemma":[0.002891305,0.00003689896,0.0002439965,0.00002670421,0.000007774895,0.00004323382,0.996485,0.00002460752,0.0002404559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02720734,"threshold_uncertainty_score":0.05409795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913676631147294,"score_gpt":0.31134610635747,"score_spread":0.2822093400459971,"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."}}