{"id":"W4386807824","doi":"","title":"Modeling reactive transport coupled with flow in Cathy: preparatory work","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Work (physics); Computer science; Flow (mathematics); Engineering; Mechanics; Mechanical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002760447,0.0005837419,0.000642585,0.0001996913,0.0001143873,0.0001578449,0.0007611951,0.0003841612,0.00004948509],"category_scores_gemma":[0.0001338757,0.0006691678,0.0001557879,0.0006761571,0.0001100672,0.0002852941,0.0002394388,0.001286472,0.0000563932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000671551,"about_ca_system_score_gemma":0.0003787928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784219,"about_ca_topic_score_gemma":0.003431221,"domain_scores_codex":[0.9968116,0.0007254022,0.0006195443,0.000785791,0.0004659651,0.0005917369],"domain_scores_gemma":[0.9963689,0.0002982731,0.0001627217,0.001632725,0.001212152,0.0003251783],"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":[0.00004670306,0.0003416135,0.0008913038,0.0002437193,0.0001720151,0.00002459987,0.02520564,0.9478824,0.001952167,0.01760647,0.00006922489,0.005564165],"study_design_scores_gemma":[0.0007330717,5.556529e-7,0.001336789,0.003469564,0.00006049168,0.000006785653,0.0002290374,0.9863807,0.001652479,0.0006560801,0.004744754,0.0007296713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692118,0.001727266,0.2668824,0.0006741646,0.0003553506,0.0005692001,0.00005232786,0.0003812882,0.03723992],"genre_scores_gemma":[0.9569671,0.0003800492,0.04058089,0.000009410877,0.0000514189,0.00008823894,0.0003746969,0.0001948229,0.001353426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.264849,"threshold_uncertainty_score":0.999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122785397585202,"score_gpt":0.1949823273004879,"score_spread":0.1827037875419677,"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."}}