{"id":"W4283834055","doi":"10.1007/s10706-022-02219-1","title":"Parametric Analysis of the Efficacy of Lysimeter Designs Using Numerical Modelling","year":2022,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lysimeter; Robustness (evolution); Environmental science; Leachate; Parametric statistics; Hydrogeology; Soil science; Percolation (cognitive psychology); Hydrology (agriculture); Statistics; Mathematics; Geotechnical engineering; Geology; Engineering; Soil water","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":[0.006213193,0.0007671564,0.0007006985,0.001018086,0.00041283,0.0009327644,0.001011535,0.001025435,0.001284341],"category_scores_gemma":[0.02430328,0.0004141736,0.0004378798,0.0006146986,0.0009350851,0.0009942501,0.00067892,0.0005371166,0.0001571622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538629,"about_ca_system_score_gemma":0.0004590787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007360991,"about_ca_topic_score_gemma":0.0005459166,"domain_scores_codex":[0.9972093,0.001469962,0.0001803981,0.0002210914,0.0006382068,0.0002810233],"domain_scores_gemma":[0.9578038,0.03335728,0.003285327,0.002841539,0.002514673,0.0001973399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00106032,0.0001968511,0.002622903,0.0001184571,0.0000252287,0.00004080474,0.00007724535,0.9393577,0.02686965,0.001327968,0.0001165968,0.02818634],"study_design_scores_gemma":[0.00004160141,0.001467582,0.00461177,0.00002781007,0.00006119935,0.00005613745,0.0000775357,0.9480596,0.04426195,0.0008144349,0.0004647955,0.00005554739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059119,0.0002912846,0.09029455,0.0001160749,0.00003233049,0.00004522089,0.000104116,0.0002357949,0.002968883],"genre_scores_gemma":[0.99572,0.00002705368,0.004059989,0.000004220976,0.000003574689,0.00001164922,0.00001947595,0.0000104255,0.0001437521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006213193,"threshold_uncertainty_score":0.03285885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917883721537797,"score_gpt":0.2118027750458792,"score_spread":0.1826239378305013,"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."}}