{"id":"W2786495817","doi":"","title":"Numerical simulation of the basin scale hydrogeological impacts of carbon sequestration in deep saline aquifers of the St. Lawrence Lowlands","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Hydrogeology; Aquifer; Carbon sequestration; Structural basin; Scale (ratio); Hydrology (agriculture); Geology; Environmental science; Groundwater; Geomorphology; Geotechnical engineering; Geography; Cartography; Carbon dioxide","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":[0.0002199276,0.0002485427,0.0002732099,0.0003437999,0.0005117808,0.0007665313,0.0005874332,0.0008712311,0.002054018],"category_scores_gemma":[0.001152443,0.0003112152,0.0003322452,0.000477826,0.0008017336,0.0004136336,0.0005087827,0.0005375166,0.0001047955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779863,"about_ca_system_score_gemma":0.00128577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1796254,"about_ca_topic_score_gemma":0.1846819,"domain_scores_codex":[0.999915,0.00002280177,0.000005283151,0.00001563588,0.00001243448,0.00002887609],"domain_scores_gemma":[0.9995722,0.0002144823,0.00004829117,0.00002429062,0.00006797384,0.00007277196],"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":[0.0002036607,0.0002432363,0.03672595,0.00003067706,0.00005136416,0.0001612328,0.0001050642,0.9556956,0.001749707,0.001343541,0.0006650196,0.003024835],"study_design_scores_gemma":[0.00007345705,0.00004627866,0.01376357,0.000006819771,0.0000134226,0.00001242544,0.0002245482,0.984931,0.0003610693,0.0003019046,0.0002534074,0.00001203627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973733,0.0000251519,0.0002884894,0.0001623179,0.000007089056,0.000004765149,0.0001893936,0.00002626519,0.001923148],"genre_scores_gemma":[0.9990662,0.00001862016,0.0002640054,0.00001711218,0.000001721698,0.000005948456,0.000106665,0.000004173607,0.0005156593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8203745,"threshold_uncertainty_score":0.3571599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759372828625943,"score_gpt":0.2449563182661088,"score_spread":0.2273625899798493,"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."}}