{"id":"W2073220378","doi":"10.1504/ijogct.2013.056706","title":"The geostatistical evaluation of coal parameters in Seam H, Malinau area, Indonesia","year":2013,"lang":"en","type":"article","venue":"International Journal of Oil Gas and Coal Technology","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kriging; Geostatistics; Coal; Drill; Mining engineering; Interpolation (computer graphics); Coal mining; Environmental science; Karst; Tonnage; Petroleum engineering; Geology; Computer science; Spatial variability; Statistics; Engineering; Mathematics; Waste management","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":[0.000526516,0.0002128632,0.0002132514,0.001414908,0.0002487278,0.0006564654,0.0002358793,0.0001837098,0.00036462],"category_scores_gemma":[0.001537895,0.0001682936,0.0003674836,0.001098479,0.0003090279,0.0002662716,0.0003428315,0.0002003198,0.0001009077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834287,"about_ca_system_score_gemma":0.0006847454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152889,"about_ca_topic_score_gemma":0.04008817,"domain_scores_codex":[0.9996297,0.0001469898,0.00003389334,0.00005641258,0.0001029172,0.00002998637],"domain_scores_gemma":[0.9992408,0.0003542014,0.0001482259,0.00007264661,0.0001429781,0.00004134548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660554,0.00009304661,0.8914886,0.00005671857,0.00009654633,0.0004114606,0.0004902651,0.07053038,0.003519371,0.0006651696,0.0003047483,0.03217768],"study_design_scores_gemma":[0.000005723385,0.00007483451,0.8195281,0.00001263823,0.00002338976,0.000211937,0.001489617,0.1756339,0.002143428,0.0003617883,0.0004914432,0.00002310518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972363,0.00003223143,0.001804516,0.00003400641,0.00000154575,0.00001272769,0.0002311655,0.00003198933,0.000615604],"genre_scores_gemma":[0.9985127,0.00002277735,0.001109965,0.000002356226,9.789259e-7,0.000006471308,0.0001814947,0.000005208885,0.0001580186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152889,"threshold_uncertainty_score":0.06269073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573885499456507,"score_gpt":0.2692828942334491,"score_spread":0.253544039238884,"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."}}