{"id":"W4401504527","doi":"10.2139/ssrn.4908872","title":"Last Passage Times for Generalized Drawdown Processes with Applications","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Drawdown (hydrology); Environmental science; Hydrology (agriculture); Econometrics; Computer science; Geology; Mathematics; Geotechnical engineering; Groundwater; Aquifer","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":[0.0002905962,0.0003169346,0.0002712578,0.0001662466,0.00014776,0.0002966821,0.0003041729,0.0001853643,0.00002318726],"category_scores_gemma":[0.00001443458,0.0002556226,0.0000964233,0.0001481493,0.00002196905,0.00006984368,0.00007523757,0.001967635,0.00001340448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005344815,"about_ca_system_score_gemma":0.002482178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005902206,"about_ca_topic_score_gemma":0.0005138577,"domain_scores_codex":[0.9980753,0.00000977096,0.0002818265,0.0002909452,0.0001820178,0.001160115],"domain_scores_gemma":[0.9994387,0.00003937986,0.00010438,0.0001962843,0.0001545073,0.00006674619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004903916,0.0000427619,0.000019386,0.005716285,0.000991591,0.000002070978,0.0002174084,0.9390348,0.00003127906,0.03246873,0.001215049,0.02021156],"study_design_scores_gemma":[0.001006476,0.0002000486,0.000007287,0.0006929555,0.00076126,0.0002354526,0.0002026438,0.03708573,0.002866499,0.9131576,0.04265625,0.001127788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002716416,0.02375254,0.9688808,0.0003943944,0.0002877844,0.00099888,0.00005709694,0.0005980996,0.002313927],"genre_scores_gemma":[0.9426429,0.03149276,0.01335695,0.00004582547,0.001988116,0.002041257,0.0003239212,0.0003753085,0.007732906],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9555239,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005199752011086366,"score_gpt":0.2160102340572846,"score_spread":0.2108104820461982,"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."}}