{"id":"W2106660447","doi":"10.1111/j.1365-246x.2006.02926.x","title":"Efficient sensitivity analysis for flow and transport in the Earth's crust and mantle","year":2006,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Crust; Geophysics; Sensitivity (control systems); Mantle (geology); Geology; Data assimilation; Meteorology; 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":[0.0002612575,0.00006176931,0.00009055405,0.00004299519,0.0001177214,0.00004760283,0.00005546588,0.00001507948,0.00005450283],"category_scores_gemma":[0.000005035795,0.00004143619,0.00006089437,0.0001031447,0.00008326506,0.00005897984,0.00002592537,0.00007684109,0.000005919272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002037477,"about_ca_system_score_gemma":0.000001986931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000391208,"about_ca_topic_score_gemma":0.000852387,"domain_scores_codex":[0.9993933,0.0000316271,0.0001240751,0.0001201094,0.0002291438,0.0001017244],"domain_scores_gemma":[0.9998092,0.00008258943,0.00003510865,0.00003588928,0.00001556226,0.00002163618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001648195,0.0008232561,0.8130056,0.000009429269,0.0004223271,0.0001669537,0.003018962,0.06450517,0.00579763,0.003809964,0.0005991325,0.1076767],"study_design_scores_gemma":[0.0002694589,0.00001651413,0.937953,0.000001655893,0.00004192171,0.0000269763,0.00009679518,0.05889679,0.00003768055,0.0004501671,0.002157321,0.00005168925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624531,0.00001022047,0.03533258,0.001517648,0.00005157731,0.00005758859,0.00001333528,0.000002772998,0.0005611732],"genre_scores_gemma":[0.9986522,0.00000293912,0.000380945,0.0001512075,0.0001088442,0.000006110608,0.000006444074,0.000002139124,0.0006891935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249474,"threshold_uncertainty_score":0.1689719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006939478841282003,"score_gpt":0.2153935010479089,"score_spread":0.2084540222066269,"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."}}