{"id":"W4220869282","doi":"10.3390/su14063461","title":"Global Research Trends on Shale Gas from 2010–2020 Using a Bibliometric Approach","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Fort Hare","keywords":"Oil shale; Beijing; China; Fossil fuel; Shale gas; Coal; Library science; Natural resource economics; Geography; Business; Regional science; Environmental science; Mining engineering; Political science; Geology; Engineering; Economics; Waste management; Archaeology; Computer science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003178716,0.0005420258,0.0008124661,0.0931697,0.0005543259,0.003736025,0.0004066644,0.0005163481,0.002516852],"category_scores_gemma":[0.01121043,0.0001358326,0.001359157,0.144848,0.000420952,0.002944979,0.001370859,0.0003983982,0.0009134854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206121,"about_ca_system_score_gemma":0.002772695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009498822,"about_ca_topic_score_gemma":0.01146546,"domain_scores_codex":[0.9959666,0.000522459,0.0008256635,0.0003920486,0.00204409,0.0002491406],"domain_scores_gemma":[0.9879745,0.004088642,0.003501736,0.0002668935,0.003757883,0.0004103323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003499499,0.0001034663,0.5592822,0.01967434,0.001933045,0.001090089,0.004594766,0.004597235,0.003561452,0.01160969,0.03219847,0.3610053],"study_design_scores_gemma":[0.00001620391,0.0001269845,0.8121716,0.00381705,0.0009920975,0.001436788,0.005435412,0.003529004,0.001711916,0.002318786,0.1683593,0.00008485209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5912562,0.1844784,0.003675985,0.006021336,0.0005253783,0.000270646,0.147014,0.0007228807,0.06603531],"genre_scores_gemma":[0.8277546,0.1004477,0.004696691,0.0003654084,0.0005378809,0.0002783353,0.06256554,0.00006940403,0.003284386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9068303,"threshold_uncertainty_score":0.0188871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461121424335049,"score_gpt":0.3149904486048186,"score_spread":0.2803792343614681,"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."}}