{"id":"W4402650979","doi":"10.1051/e3sconf/202456908002","title":"Experience in locating leaks in geomembrane-lined ponds","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geomembrane; Geology; Environmental science; Marine engineering; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000229487,0.0001406909,0.0002098153,0.00009331814,0.00002967871,0.00003076696,0.0002388434,0.00005039505,0.002647569],"category_scores_gemma":[0.00005781731,0.0001117909,0.00003229695,0.000382774,0.0003656981,0.0002950427,0.0002004172,0.0001373323,0.0001389416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016982,"about_ca_system_score_gemma":0.00005463754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749668,"about_ca_topic_score_gemma":0.001221084,"domain_scores_codex":[0.9988031,0.00003542563,0.0003202981,0.0002940111,0.0002770375,0.0002701192],"domain_scores_gemma":[0.9996491,0.0001157374,0.00004438176,0.0001432436,0.000001789894,0.00004571785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002047373,0.00009667351,0.9170455,0.00005174087,0.000009507976,0.00004762444,0.007317489,0.001311366,0.0612614,0.0003926863,0.0001364445,0.01230913],"study_design_scores_gemma":[0.0008029654,0.0002242885,0.9092084,0.0005688481,0.00001087444,0.00001265531,0.005101087,0.02415086,0.05331256,0.001293904,0.004730589,0.0005830072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169911,0.0003562897,0.00001597957,0.0002921738,0.0001130823,0.0001131259,0.000003553301,0.00002481106,0.08208986],"genre_scores_gemma":[0.9992565,0.0001637744,0.0000834337,0.00005436151,0.00001455342,0.00002633061,0.000002265879,0.000007835061,0.0003909375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08226538,"threshold_uncertainty_score":0.9982641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659619852573427,"score_gpt":0.283752427214402,"score_spread":0.2571562286886678,"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."}}