{"id":"W2120313472","doi":"10.22201/igeof.00167169p.2004.43.4.828","title":"Assessing rock aquifer vulnerability using downward advective times from a 3D model of surficial geology: A case study from the St. Lawrence Lowlands, Canada","year":2004,"lang":"es","type":"article","venue":"Geofísica Internacional","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Institut National de la Recherche Scientifique","funders":"Natural Resources Canada","keywords":"Humanities; Geology; Geography; Cartography; Physics; Geomorphology; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004258662,0.0004503003,0.0005852811,0.00003368729,0.000550639,0.0001495212,0.0006485671,0.0002433896,0.001575057],"category_scores_gemma":[0.00009759155,0.0003056808,0.0001825873,0.0001960374,0.0003560891,0.0003642687,0.0008277122,0.0008162539,0.00002681431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009590922,"about_ca_system_score_gemma":0.0009220671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9358612,"about_ca_topic_score_gemma":0.5235711,"domain_scores_codex":[0.996565,0.0003177668,0.0007244264,0.0008936842,0.0009159573,0.0005831933],"domain_scores_gemma":[0.9983544,0.0003866919,0.0003962736,0.0005863737,0.00008762857,0.0001886322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003341902,0.0009678887,0.4955981,0.000008759461,0.0005065419,0.001533806,0.004435111,0.4939098,0.001250571,0.0000679107,0.0001780793,0.001209217],"study_design_scores_gemma":[0.004333759,0.0004572267,0.2418495,0.0004769234,0.0008725583,0.0004901254,0.0124157,0.7330481,0.0009337662,0.003653325,0.0002708791,0.001198116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923648,0.0001746482,0.003951703,0.0004336819,0.000683758,0.0004561477,0.001731548,0.00002198968,0.0001817643],"genre_scores_gemma":[0.9985465,0.00001235733,0.0008581259,0.000174713,0.0002764472,0.0000121437,0.00005505171,0.00002884785,0.00003577342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4122901,"threshold_uncertainty_score":0.9999395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209599436066833,"score_gpt":0.2682251083784984,"score_spread":0.2472651647718151,"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."}}