{"id":"W2020642210","doi":"10.1890/08-1935.1","title":"Water table response to an experimental alley farming trial: dissecting the spatial and temporal structure of the data","year":2010,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Environmental science; Groundwater recharge; Water table; Hydrology (agriculture); Transect; Vegetation (pathology); Groundwater; Spatial variability; Ecology; Aquifer; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003390711,0.0000803662,0.00009458876,0.000003740571,0.0004740384,0.00004026439,0.0006023503,0.00007849109,0.0006021518],"category_scores_gemma":[0.00005944654,0.00001912584,0.00002529489,0.0001155852,0.0001030829,0.00005856225,0.0002242336,0.0001620059,0.000003592609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000436444,"about_ca_system_score_gemma":0.000005925077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013144,"about_ca_topic_score_gemma":0.002603293,"domain_scores_codex":[0.999204,0.00008272968,0.0001731875,0.0002683609,0.0001260562,0.0001456599],"domain_scores_gemma":[0.9994594,0.0001837147,0.00004222842,0.0002077633,0.00002915903,0.00007767652],"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":[0.0004902638,0.0001359857,0.005864655,4.280633e-7,0.000002061929,1.047067e-7,0.0001248842,0.000001075019,0.9912335,0.000106492,0.00007797853,0.001962607],"study_design_scores_gemma":[0.001494759,0.0006425562,0.7392565,0.000003016519,0.0000192128,0.000005522313,0.001394792,0.0001432401,0.1751661,0.0004736921,0.08118396,0.0002167105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959871,0.000004999206,0.000009459368,0.002953699,0.0001212857,0.0007769823,0.00008159337,0.00002652199,0.00003834113],"genre_scores_gemma":[0.9990948,5.633197e-7,0.000135072,0.000346271,0.0001755971,0.00008428469,0.0000974479,8.019171e-7,0.00006512351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8160674,"threshold_uncertainty_score":0.6593141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421356611783356,"score_gpt":0.2786886208303375,"score_spread":0.244475054712504,"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."}}