{"id":"W4380627301","doi":"10.35180/gse-2023-0092","title":"Correlation Between Human Development Index and Economic Growth of Major Oil and Gas Producers","year":2023,"lang":"en","type":"article","venue":"GeoScience Engineering","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human Development Index; China; Index (typography); Geography; Gross domestic product; Pearson product-moment correlation coefficient; Positive correlation; Correlation coefficient; Socioeconomics; Agricultural economics; Human development (humanity); Development economics; Economy; Economic growth; Economics; Statistics; Mathematics","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":[0.0004734893,0.0001133596,0.0001286584,0.001448354,0.0001167639,0.0004283873,0.00009435404,0.00009248646,0.002565559],"category_scores_gemma":[0.002394226,0.00005003815,0.0001371982,0.002156542,0.0002404133,0.0002890889,0.0003496914,0.0002328422,0.0004278176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646881,"about_ca_system_score_gemma":0.0004344468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412058,"about_ca_topic_score_gemma":0.006027134,"domain_scores_codex":[0.9997799,0.00005284087,0.0000175248,0.0000398997,0.00006184409,0.00004798789],"domain_scores_gemma":[0.9968922,0.001401433,0.0008353547,0.00009273968,0.0005514995,0.0002268984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002277622,0.000008087288,0.9947561,0.00001104607,0.00002156619,0.00005707915,0.0001124854,0.0005630209,0.00008246289,0.0002238047,0.0003559946,0.003785604],"study_design_scores_gemma":[9.07801e-7,0.00002128606,0.9962091,0.000008786061,0.00001071537,0.00007385693,0.0006000145,0.0007755365,0.0001914867,0.0001331525,0.00197111,0.000004072037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905732,0.0003361045,0.0004307433,0.0001475334,0.000008840145,0.00000780632,0.002152178,0.00001263994,0.006330964],"genre_scores_gemma":[0.9977585,0.0001567993,0.0001282125,0.000007247912,0.000005465635,0.000005681583,0.001048333,0.000002228168,0.0008874851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006412058,"threshold_uncertainty_score":0.01274949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016330646668685,"score_gpt":0.192251054645823,"score_spread":0.175920407977138,"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."}}