{"id":"W4210590821","doi":"10.22541/au.164330502.21254888/v1","title":"Capture map-based groundwater potential zonation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Lyon; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Ottawa Hospital Research Institute","keywords":"Groundwater; Hydrogeology; Drawdown (hydrology); Inflow; Groundwater flow; Environmental science; Hydrology (agriculture); Outflow; Geology; Aquifer; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000269849,0.0003095558,0.0002565547,0.0001039384,0.0002181741,0.0001815303,0.0005859346,0.0001969801,0.1030672],"category_scores_gemma":[0.00000258263,0.0002528341,0.0003223844,0.00012598,0.00009290865,0.000123699,0.001553853,0.0005354554,0.001101108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005096146,"about_ca_system_score_gemma":0.00001736679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008265286,"about_ca_topic_score_gemma":0.000343834,"domain_scores_codex":[0.9977458,0.000130804,0.0002895077,0.0007457889,0.000742668,0.0003455078],"domain_scores_gemma":[0.9992161,0.000009051259,0.0001034914,0.000560581,0.000008825767,0.0001019349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009008967,0.0007225535,0.06944972,0.000162307,0.0002926719,0.0002264248,0.00127638,0.8665692,0.003527077,0.0001390126,0.05400466,0.003539928],"study_design_scores_gemma":[0.003697015,0.0004430624,0.1357083,0.00007810184,0.002127826,0.00004085393,0.001810342,0.3534856,0.007763889,0.04308745,0.4444852,0.007272409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.699215,0.00008850024,0.2033704,0.0106941,0.004219728,0.00135716,0.0001168437,0.0007470045,0.08019126],"genre_scores_gemma":[0.9648044,0.000002557684,0.002186762,0.0009081488,0.00008548168,0.00009058534,0.001048572,0.00003259118,0.0308409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5130836,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007869242614599264,"score_gpt":0.2089659203815467,"score_spread":0.2010966777669474,"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."}}