{"id":"W4321115874","doi":"10.1016/j.ngib.2023.01.001","title":"Coal bed methane gas in-place estimation for the North-Western region of Zimbabwe","year":2023,"lang":"en","type":"article","venue":"Natural Gas Industry B","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Methane; Natural gas; Range (aeronautics); Probabilistic logic; Probability distribution; Probability density function; Environmental science; Statistics; Liquefied natural gas; Monte Carlo method; Petroleum engineering; Geology; Mineralogy; Soil science; Mathematics; Chemistry; Materials science; Engineering; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943576,0.0003541047,0.0002155205,0.001108481,0.0003269493,0.0005525097,0.0004304149,0.0004112137,0.0007754716],"category_scores_gemma":[0.001505474,0.0002041665,0.0003780736,0.0008805618,0.0001598668,0.0003650206,0.0004047198,0.0002421527,0.0001151583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241042,"about_ca_system_score_gemma":0.0005829025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.259051,"about_ca_topic_score_gemma":0.2344528,"domain_scores_codex":[0.9998429,0.0000344406,0.00001456639,0.00003667581,0.00003392392,0.00003748888],"domain_scores_gemma":[0.9996949,0.0001074033,0.00006669292,0.00002191724,0.00009128821,0.0000177115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000139926,0.00007541446,0.7345018,0.0002234467,0.0002153421,0.001074214,0.0006283991,0.2188478,0.006761753,0.001448601,0.001137547,0.03494576],"study_design_scores_gemma":[0.00002331654,0.00004736477,0.4909691,0.00009752546,0.0000782642,0.0001552715,0.0009126617,0.5028202,0.001560334,0.0004777098,0.002822044,0.00003617138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912494,0.0004272405,0.005333914,0.0001606022,0.000005042598,0.00003794597,0.001790703,0.00005685321,0.0009382034],"genre_scores_gemma":[0.9957288,0.0001493493,0.002616509,0.00001195014,0.00000243616,0.00002019553,0.001249881,0.000004015607,0.0002167831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.259051,"threshold_uncertainty_score":0.5150862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485101356770796,"score_gpt":0.2636727296830572,"score_spread":0.2288217161153492,"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."}}