{"id":"W1584061575","doi":"10.1029/2011wr011037","title":"Inverse modeling of hydraulic tests in fractured crystalline rock based on a transition probability geostatistical approach","year":2011,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Borehole; Geology; Bedrock; Facies; Fracture (geology); Groundwater flow; Hydraulic fracturing; Flow (mathematics); Hydraulic conductivity; Geotechnical engineering; Calibration; Groundwater; Petrology; Soil science; Geomorphology; Aquifer; Structural basin; Geometry; Statistics; Mathematics","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":[0.001125442,0.0001207888,0.0001768792,0.0001550857,0.0001135904,0.00001950161,0.0002195563,0.00007525966,0.0005298086],"category_scores_gemma":[0.00005751236,0.00008254175,0.00004072267,0.0002423157,0.0001924318,0.0001039019,0.0001227964,0.0002883243,0.00008248792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229417,"about_ca_system_score_gemma":0.000006134384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451992,"about_ca_topic_score_gemma":0.0003744444,"domain_scores_codex":[0.9978085,0.0003603554,0.0002839709,0.0003860499,0.000749527,0.0004116069],"domain_scores_gemma":[0.9995375,0.00006648978,0.00001878561,0.000254337,0.00004064796,0.00008224729],"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":[0.001908499,0.003460905,0.04413534,0.0003389729,0.00003195628,0.00006319898,0.1406502,0.7862412,0.01512716,0.0000524852,0.0001849736,0.00780513],"study_design_scores_gemma":[0.0006532698,0.0002644268,0.02704101,0.00002494191,0.000004637775,8.752741e-7,0.0005051317,0.9669574,0.002827048,0.001028982,0.0005615623,0.0001306888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423944,0.000004690685,0.05326301,0.0001490988,0.000005590071,0.0004018418,0.000007835492,0.00001626203,0.003757274],"genre_scores_gemma":[0.9976837,9.901715e-7,0.001902889,0.00006512328,0.00001028159,0.0000842179,0.00002103453,0.00001132167,0.0002204581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1807163,"threshold_uncertainty_score":0.5801032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802011860713487,"score_gpt":0.284337663078309,"score_spread":0.2041364770069604,"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."}}