{"id":"W31686212","doi":"10.14264/247504","title":"Comparative study of simulation algorithms in mapping spaces of uncertainty","year":2002,"lang":"en","type":"dissertation","venue":"The University of Queensland","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variogram; Transfer function; Kriging; Algorithm; Covariance; Geostatistics; Computer science; Stochastic modelling; Mathematical optimization; Randomness; Mathematics; Engineering; Spatial variability; Statistics; Machine learning","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":[0.00009050273,0.00008307043,0.0003122047,0.0001289716,0.00001988056,0.000001695503,0.000133097,0.0000741464,0.00003050307],"category_scores_gemma":[0.00000251809,0.00008401399,0.00003428683,0.00008625793,0.00002345103,0.00003094166,0.00001178417,0.0001012369,6.541045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303087,"about_ca_system_score_gemma":0.000006594655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099062,"about_ca_topic_score_gemma":0.002295321,"domain_scores_codex":[0.9996364,0.00002349421,0.0001552195,0.00007035602,0.0000571388,0.0000574658],"domain_scores_gemma":[0.9996083,0.0000689384,0.0001522152,0.0001227766,0.00003893702,0.000008852729],"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":[0.00005098437,0.00005752689,0.001515547,0.0001544666,0.0000923902,0.00000127479,0.07219168,0.9252124,0.00006243065,0.00001734772,0.0001345862,0.000509312],"study_design_scores_gemma":[0.0008116497,0.0001864232,0.03001181,0.0003223181,0.00007627625,1.881005e-7,0.110941,0.8567153,0.0003190915,0.0001076852,0.0003182916,0.0001899871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959682,0.00006728243,0.0003102006,0.00000195975,0.00003700994,0.0002176187,0.00001591915,0.00001716715,0.003364633],"genre_scores_gemma":[0.9994165,0.00007058255,0.0002480572,1.933353e-7,0.000005166653,1.250099e-7,0.00002892192,0.000005486473,0.0002249193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06849721,"threshold_uncertainty_score":0.3425991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527174244445854,"score_gpt":0.2428962075666551,"score_spread":0.2076244651221965,"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."}}