{"id":"W2253286847","doi":"10.2110/pec.04.80.0139","title":"Development of a 3-D Depositional Model of Braided-River Gravels and Sands to Improve Aquifer Characterization","year":2004,"lang":"en","type":"book-chapter","venue":"SEPM (Society for Sedimentary Geology) eBooks","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Sedimentary depositional environment; Geology; Aquifer; Geochemistry; Characterization (materials science); Geomorphology; Geotechnical engineering; Groundwater; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001209196,0.0003875998,0.0005265582,0.00009006005,0.00009344032,0.000007891348,0.0001323919,0.000436936,0.00005824449],"category_scores_gemma":[0.000002434974,0.0004097382,0.0003054078,0.00001580238,0.0002213693,0.0000753217,0.0001120785,0.0002099451,7.400806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963663,"about_ca_system_score_gemma":0.0002492002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001165791,"about_ca_topic_score_gemma":0.0000082593,"domain_scores_codex":[0.9984974,0.000003738056,0.000634349,0.0003673153,0.0002053035,0.0002918557],"domain_scores_gemma":[0.99933,0.00003217016,0.0001534643,0.0002182042,0.0001621516,0.0001040136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009422908,0.0001632557,0.0006650409,0.009681862,0.008982642,0.000006876883,0.0505535,0.01815051,0.7132775,0.1509275,0.001645724,0.0450033],"study_design_scores_gemma":[0.01166086,0.002755618,0.00755686,0.001191977,0.002239246,0.00005845137,0.0009971623,0.04356789,0.2058275,0.6880144,0.03054939,0.005580639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575439,0.0002233063,0.2069687,0.0001724641,0.000795498,0.003978521,0.001528307,0.0002284331,0.02856082],"genre_scores_gemma":[0.7805018,0.00003727658,0.1940723,0.001469471,0.0002614908,0.0002103079,0.002240372,0.0002108861,0.02099608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.537087,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007658611111716373,"score_gpt":0.1944550079393259,"score_spread":0.1867963968276096,"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."}}