{"id":"W4390768477","doi":"10.3390/w16020232","title":"Prediction of Internal Erosion Parameters of Clay Soils Using Initial Physical Properties","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aecom (Canada)","funders":"American University of Sharjah","keywords":"Cohesion (chemistry); Soil water; Geotechnical engineering; Shear (geology); Water content; Direct shear test; Atterberg limits; Erosion; Internal friction; Soil science; Environmental science; Materials science; Geology; Composite material; Chemistry","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":[0.0006708842,0.0008605033,0.0004664651,0.001047262,0.000123729,0.000595958,0.0003372631,0.000425649,0.0005809687],"category_scores_gemma":[0.002833031,0.0002942639,0.0005508796,0.0004605499,0.0002439621,0.0006418895,0.0002202602,0.0004863625,0.0004546374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529351,"about_ca_system_score_gemma":0.0003401324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723713,"about_ca_topic_score_gemma":0.003596416,"domain_scores_codex":[0.9997609,0.00003553176,0.00002055389,0.00005870803,0.00009312282,0.00003129232],"domain_scores_gemma":[0.9984509,0.0007878433,0.0003077569,0.0001163495,0.0002768984,0.00006029401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005138973,0.0003340056,0.3868218,0.0003466135,0.0001289213,0.0003047301,0.0001827782,0.3696468,0.1621456,0.0003477795,0.0002781063,0.07894904],"study_design_scores_gemma":[0.00002648704,0.0008146933,0.2619533,0.00004396301,0.00007574353,0.000236274,0.0001575436,0.6013423,0.1340502,0.0004801307,0.0007489619,0.00007044712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680825,0.0001359416,0.03036729,0.000009807962,0.000004637171,0.00003147792,0.0003384399,0.0002240284,0.0008058149],"genre_scores_gemma":[0.9946461,0.00007578616,0.004585798,0.000001973609,0.000001134124,0.00001362154,0.0003743764,0.0000180349,0.0002831888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002723713,"threshold_uncertainty_score":0.005415678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184419049397271,"score_gpt":0.2242767421709974,"score_spread":0.1924325516770246,"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."}}