{"id":"W4200304695","doi":"10.2166/ws.2021.430","title":"An expert system for predicting the infiltration characteristics","year":2021,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Infiltration (HVAC); Groundwater recharge; Gene expression programming; Mean squared error; Silt; Hydrology (agriculture); Soil science; Mathematics; Environmental science; Geotechnical engineering; Geology; Statistics; Groundwater; Aquifer; Materials science; Machine learning; Geomorphology; Computer science","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":[0.0003011542,0.0001514269,0.0001454012,0.0002168023,0.000434143,0.0002039014,0.0005643799,0.0001656004,0.000009987612],"category_scores_gemma":[0.00001665916,0.00007922156,0.00003148573,0.0003889606,0.0002854722,0.0004358887,0.00007696266,0.0001892593,0.00003169633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007127913,"about_ca_system_score_gemma":0.00002893931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005302499,"about_ca_topic_score_gemma":0.000005276559,"domain_scores_codex":[0.998695,0.00001295445,0.0002334547,0.0003159683,0.0001636001,0.0005790364],"domain_scores_gemma":[0.9992307,0.000009613805,0.00001407301,0.0005160178,0.0001771799,0.0000524391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003450265,0.00001030301,0.002434885,0.00002614657,0.000008194592,0.00001292254,0.002453422,0.0002189328,0.9887947,0.0003283381,0.00004774258,0.005660981],"study_design_scores_gemma":[0.0001268851,0.00004142055,0.0002806911,0.00002107469,0.000008401593,0.0001063983,0.001063856,0.04001226,0.9536442,0.0001332289,0.004419282,0.0001423014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895237,0.00004653511,0.006074225,0.00147519,0.001372529,0.000198164,0.00001177479,0.00112177,0.0001760934],"genre_scores_gemma":[0.9982468,0.00000758972,0.001248331,0.00006930719,0.0001493209,0.0001452505,0.00005777692,0.00002114585,0.0000544532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03979333,"threshold_uncertainty_score":0.3339121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007006395155476482,"score_gpt":0.2082447294197679,"score_spread":0.2012383342642914,"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."}}