{"id":"W4399157743","doi":"10.18280/mmep.110509","title":"Application of Autoencoders Neural Network and K-Means Clustering for the Definition of Geostatistical Estimation Domains","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Artificial neural network; Estimation; Artificial intelligence; Computer science; Pattern recognition (psychology); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660552,0.0006071082,0.0005123761,0.001379258,0.0003367701,0.000955046,0.0006151514,0.0006082295,0.0005303111],"category_scores_gemma":[0.005524128,0.0003179511,0.0006501172,0.000772197,0.0005557932,0.0006036694,0.0009690505,0.0007456388,0.0001664462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007055387,"about_ca_system_score_gemma":0.001392319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006209908,"about_ca_topic_score_gemma":0.004843692,"domain_scores_codex":[0.9991529,0.0003395381,0.0000707838,0.0001640678,0.0002166757,0.00005604348],"domain_scores_gemma":[0.9983287,0.0008164179,0.0001796034,0.0001620092,0.0004771643,0.00003615438],"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":[0.0001076478,0.00007435882,0.005017091,0.0001343538,0.0001000415,0.0001062155,0.0002853631,0.7781458,0.007576838,0.01619765,0.0007240719,0.1915306],"study_design_scores_gemma":[0.000002747473,0.00001027499,0.001127714,0.00001430022,0.000005115012,0.00001855131,0.00004320452,0.9931,0.002237759,0.002915706,0.0005162581,0.000008336076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04709846,0.0001584206,0.9510945,0.00009352013,0.00001477116,0.00004519268,0.00005832527,0.0002424423,0.001194441],"genre_scores_gemma":[0.5208849,0.0001569081,0.4776826,0.00004323537,0.00002041979,0.0001418509,0.000252704,0.00007094803,0.0007463449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006209908,"threshold_uncertainty_score":0.01234752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019873470045618,"score_gpt":0.2203896443721248,"score_spread":0.2005161743265068,"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."}}