{"id":"W3090019366","doi":"10.5430/rwe.v11n5p334","title":"The Impact of Non-banking Credit Organization Credits on Economic Growth in Azerbaijan","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Ordinary least squares; Position (finance); Economics; Financial system; Business; Monetary economics; Finance; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003908795,0.0002354741,0.0002943245,0.00103471,0.0003213146,0.001573056,0.0002640334,0.0002763531,0.001877115],"category_scores_gemma":[0.001303017,0.0000794692,0.0002851567,0.001283036,0.0005034855,0.0005149068,0.0008860053,0.0004315883,0.0001606506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980572,"about_ca_system_score_gemma":0.001898881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08036373,"about_ca_topic_score_gemma":0.0715143,"domain_scores_codex":[0.999701,0.00007166136,0.00001834946,0.00003290695,0.00005736398,0.0001187248],"domain_scores_gemma":[0.9994388,0.0001348717,0.0001889277,0.00001835447,0.0001099891,0.0001090096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191544,0.0002089037,0.9574349,0.00013759,0.0001171162,0.00214839,0.001419381,0.005831173,0.001706922,0.004082553,0.001894078,0.02482743],"study_design_scores_gemma":[0.00001186585,0.00004868137,0.9915642,0.00003917766,0.00004703247,0.0001099731,0.002503945,0.002071339,0.0003241832,0.0004330234,0.002838402,0.000008183899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964096,0.0007201924,0.00003162353,0.0003909749,0.00001373177,0.000004554684,0.0001775574,0.000005317952,0.002246337],"genre_scores_gemma":[0.9987798,0.0005595152,0.00002389161,0.00002467586,0.00001186946,0.000001785838,0.0001386392,0.000001204778,0.0004585649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08036373,"threshold_uncertainty_score":0.1597919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309122613892219,"score_gpt":0.3249924840308792,"score_spread":0.1940802226416573,"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."}}