{"id":"W1977321581","doi":"10.1016/s0098-3004(02)00071-7","title":"DSSIM-HR: A FORTRAN 90 program for direct sequential simulation with histogram reproduction","year":2002,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fortran; Computer science; Histogram; Reproduction; Parallel computing; Computer graphics (images); Computational science; Programming language; Artificial intelligence; Image (mathematics); Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009189983,0.001196245,0.0009917925,0.000727194,0.0006533266,0.0008296188,0.003160243,0.001098104,0.04335491],"category_scores_gemma":[0.004706851,0.0008437611,0.0006822834,0.000924228,0.0003229515,0.0008997267,0.0008236286,0.001947238,0.006797654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005571329,"about_ca_system_score_gemma":0.001702904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006842384,"about_ca_topic_score_gemma":0.005136382,"domain_scores_codex":[0.999615,0.000122381,0.00003299679,0.00005209071,0.0001140768,0.00006349092],"domain_scores_gemma":[0.9982285,0.0008938287,0.00009581246,0.0001707768,0.0005057947,0.0001054289],"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":[0.0007941083,0.0004917041,0.003140865,0.0006982628,0.000219941,0.0003139157,0.0004012709,0.7133382,0.007030836,0.02767486,0.1043333,0.1415627],"study_design_scores_gemma":[0.0001937505,0.00005501263,0.0001742311,0.00001684301,0.00002518638,0.00004300509,0.00002289551,0.9750606,0.004730082,0.003173306,0.01648175,0.00002342521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02798824,0.0001685835,0.8602216,0.0002352846,0.0002557554,0.0003711795,0.00501145,0.08866611,0.01708179],"genre_scores_gemma":[0.2211492,0.0002920277,0.7283086,0.0003380139,0.0001077141,0.001952552,0.007024718,0.02731512,0.01351207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04335491,"threshold_uncertainty_score":0.1450366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703173706570216,"score_gpt":0.2607365912920229,"score_spread":0.2337048542263207,"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."}}