{"id":"W4396610670","doi":"10.1002/nag.3755","title":"A framework for estimating the matric suction in unsaturated soils using multiple artificial intelligence techniques","year":2024,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Soil water; Geotechnical engineering; Suction; Soil mechanics; Soil science; Environmental science; Mathematics; Engineering; Mechanical engineering","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":[0.001174034,0.0007622754,0.0005902571,0.0008331486,0.0002660207,0.0007628141,0.001122252,0.0007213523,0.0006761759],"category_scores_gemma":[0.001516481,0.0003477278,0.0007175472,0.0005116194,0.0005479904,0.0007008884,0.0009089815,0.0005310906,0.0001319061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515998,"about_ca_system_score_gemma":0.0009845463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007816902,"about_ca_topic_score_gemma":0.004309267,"domain_scores_codex":[0.9995819,0.0001469579,0.00002367454,0.0000790015,0.0001315193,0.00003689997],"domain_scores_gemma":[0.999638,0.000161043,0.00006251207,0.0000169014,0.0001040164,0.00001752007],"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":[0.00001238149,0.00002209821,0.0003789587,0.00003576207,0.0000295143,0.00004242228,0.00002402296,0.9706022,0.001477898,0.009472392,0.0001633789,0.01773888],"study_design_scores_gemma":[0.000001022991,0.00001095242,0.00005613711,0.000002120814,0.00000286298,0.000003199959,0.000002192079,0.9988398,0.0001213584,0.0008440861,0.0001138043,0.000002535369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006557026,0.0001315637,0.9924657,0.00004950773,0.000007054564,0.00001809237,0.00001558594,0.00007866082,0.000676741],"genre_scores_gemma":[0.7099944,0.0005639292,0.2866259,0.00006082675,0.00006713761,0.000295835,0.0001218191,0.00003910348,0.002231033],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007816902,"threshold_uncertainty_score":0.01554281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708931603978046,"score_gpt":0.415306473575472,"score_spread":0.3444133131776674,"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."}}