{"id":"W2004632730","doi":"10.1016/s0735-1933(03)00049-6","title":"INVERSE DETERMINATION OF CONCENTRATION IN POROUS MEDIUM WITH THERMOSOLUTAL CONVECTION","year":2003,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Porous medium; Enclosure; Inverse problem; Conjugate gradient method; Inverse; Conjugate; Sensitivity (control systems); Convection; Square (algebra); Diffusion; Mathematical analysis; Adjoint equation; Mechanics; Porosity; Materials science; Physics; Thermodynamics; Mathematics; Partial differential equation; Computer science; Mathematical optimization; Geometry","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":[0.0007182744,0.0002961807,0.0005668562,0.0005017512,0.0004079799,0.0008645115,0.0007114785,0.001122941,0.0003805522],"category_scores_gemma":[0.003319622,0.000409869,0.000444496,0.0002867201,0.00151096,0.001117719,0.001346421,0.001048678,0.00009309105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556626,"about_ca_system_score_gemma":0.0007600294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156786,"about_ca_topic_score_gemma":0.0009525543,"domain_scores_codex":[0.9996204,0.0001065436,0.00001734357,0.00005598657,0.0001730242,0.00002663726],"domain_scores_gemma":[0.999023,0.0005989079,0.00008876108,0.00007775368,0.0001634791,0.00004816674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004803655,0.0001751156,0.005428844,0.0008085818,0.00009467656,0.0007369464,0.00100266,0.3899123,0.4398392,0.07817234,0.001046969,0.08230196],"study_design_scores_gemma":[0.00001291473,0.00002212691,0.0002866625,0.000007592313,0.000004735343,0.0001086814,0.00002008758,0.9633647,0.03177441,0.003957873,0.0004255894,0.00001457298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2085406,0.0006662221,0.7864445,0.0005703981,0.00009971175,0.00006564236,0.0000505677,0.0002921418,0.003270143],"genre_scores_gemma":[0.8721087,0.0003001727,0.1260661,0.00006863045,0.00003576342,0.00003643083,0.00003103064,0.00004486508,0.001308292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00156786,"threshold_uncertainty_score":0.003798664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07431116575654093,"score_gpt":0.3501807463520327,"score_spread":0.2758695805954917,"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."}}