{"id":"W2252329455","doi":"","title":"Probabilistic Forecasting of Hydrological Events Using Geostatistical Analysis","year":2006,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Forestry; Humanities; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246876,0.0001515224,0.0003134139,0.0001882731,0.0001637152,0.00001446997,0.000121467,0.0001608502,0.00009568632],"category_scores_gemma":[0.000131412,0.0001404269,0.00005056889,0.0008462705,0.0004528219,0.00004340093,0.0001564986,0.0001557113,0.000006109174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006687565,"about_ca_system_score_gemma":0.000008548363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693815,"about_ca_topic_score_gemma":0.0006281513,"domain_scores_codex":[0.9987804,0.00003163026,0.0003024993,0.0003731233,0.0001660154,0.0003463516],"domain_scores_gemma":[0.9993967,0.0002008535,0.0001506062,0.0001867377,0.00001621408,0.00004884907],"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":[0.00004029032,0.0002847647,0.4947893,0.0000633589,0.0002188657,0.00006842874,0.0001003682,0.3408494,0.00565803,0.1537011,0.00006140678,0.004164695],"study_design_scores_gemma":[0.0002808493,0.0001207039,0.03158261,0.00001810812,0.0003591206,0.00005082494,0.0001466399,0.6296808,0.00009032583,0.3372932,0.000135603,0.0002411659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141387,0.00006950781,0.1847039,0.0001725854,0.00002748134,0.00009157636,0.000006560345,0.00005663075,0.0007329954],"genre_scores_gemma":[0.9672647,0.00001273065,0.03255767,0.00001234582,0.00001514079,0.000004412762,0.000008735906,0.00001007885,0.0001142618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4632066,"threshold_uncertainty_score":0.5726445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035477260450533,"score_gpt":0.2358634329007973,"score_spread":0.215508660296292,"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."}}