{"id":"W4407715518","doi":"10.1007/s10230-025-01030-7","title":"Exploring Spatiotemporal Trends in Piezometer Network Data Using Self-Organizing Maps","year":2025,"lang":"en","type":"article","venue":"Mine Water and the Environment","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Piezometer; Geology; Hydrogeology; Groundwater; Geotechnical engineering; Aquifer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000438856,0.0002612035,0.0002483274,0.001962643,0.0002232805,0.0006024592,0.0004024645,0.0003068855,0.0004498488],"category_scores_gemma":[0.002352997,0.0001947457,0.0003544622,0.001998956,0.0001988975,0.000852113,0.0003654452,0.0003501489,0.000114959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344899,"about_ca_system_score_gemma":0.0003550278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855256,"about_ca_topic_score_gemma":0.01348555,"domain_scores_codex":[0.9998307,0.0000352717,0.00001419374,0.00005075358,0.00004504819,0.00002393082],"domain_scores_gemma":[0.9993176,0.0003755218,0.0001088112,0.00005450955,0.0001171059,0.00002643457],"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":[0.0005713889,0.0003776515,0.1970475,0.000263395,0.0004539185,0.0005242768,0.000510364,0.5131638,0.01498728,0.004304486,0.00423366,0.2635623],"study_design_scores_gemma":[0.000004704315,0.00002502493,0.02441323,0.000008481951,0.00002181577,0.00004388675,0.0001383992,0.9702361,0.001518879,0.003060302,0.0005188643,0.00001032508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85398,0.0004612227,0.1413969,0.0004152413,0.0000653216,0.00003622357,0.00174844,0.0005931635,0.001303484],"genre_scores_gemma":[0.9849796,0.0001242982,0.01368116,0.00001475164,0.00001896853,0.00001649083,0.0007994682,0.0000163749,0.0003488672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855256,"threshold_uncertainty_score":0.01700556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.072487821097132,"score_gpt":0.2409141279492098,"score_spread":0.1684263068520778,"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."}}