{"id":"W4282964754","doi":"","title":"Porous Flow and Sediment Transport Simulation for Physically-Based Weathering","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Weathering; Sediment transport; Sediment; Flow (mathematics); Geotechnical engineering; Geology; Environmental science; Porosity; Hydrology (agriculture); Soil science; Geomorphology; Computer science; Mechanics; Physics","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":[0.002362171,0.000220191,0.0002995596,0.00009160202,0.0004029842,0.0001105078,0.0004168605,0.0001282828,0.0007791367],"category_scores_gemma":[0.0002232286,0.0002093559,0.0001993512,0.0001544991,0.00007591194,0.00005175584,0.00008476122,0.0003191942,0.000007515799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400746,"about_ca_system_score_gemma":0.0000908666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058725,"about_ca_topic_score_gemma":0.001904164,"domain_scores_codex":[0.9975008,0.0009898265,0.0003342111,0.0006152401,0.0003100552,0.0002498785],"domain_scores_gemma":[0.997643,0.001020881,0.0002167077,0.0006172382,0.0003738582,0.0001283265],"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":[0.0000260835,0.0001066112,0.01323786,0.00008575907,0.00004454787,0.000001769305,0.001062109,0.9157672,0.00003248342,0.0002251227,0.00001827819,0.0693922],"study_design_scores_gemma":[0.0003965973,0.000001155162,0.0115438,0.0001330006,0.00007313359,4.418684e-7,0.00004531184,0.9826033,0.0002224891,0.001743792,0.003000173,0.0002368404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4297177,0.0008224559,0.5588567,0.005173901,0.0001558235,0.0005657638,0.0003875873,0.000182732,0.004137341],"genre_scores_gemma":[0.9479308,0.00007873405,0.04838615,0.0001137216,0.00002533312,0.00002599928,0.002529503,0.000009430564,0.0009004027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.518213,"threshold_uncertainty_score":0.8537285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807153436075189,"score_gpt":0.2194423807380096,"score_spread":0.2013708463772578,"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."}}