{"id":"W7044264890","doi":"","title":"ПОТРЕБИТЕЛЬСКОЕ КРЕДИТОВАНИЕ В РОССИИ: ОСНОВНЫЕ ПРОБЛЕМЫ НА СОВРЕМЕННОМ ЭТАПЕ","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debt; Solvency; Consumer debt; Quarter (Canadian coin); Loan; Population; Consumer confidence index; Consumption (sociology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002418606,0.0004731456,0.001022386,0.0006916951,0.001231061,0.000780126,0.005092425,0.0001303449,0.3133653],"category_scores_gemma":[0.0001335532,0.000475903,0.0006514757,0.00211755,0.000522091,0.002213556,0.004661754,0.0008465287,0.0004342866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495687,"about_ca_system_score_gemma":0.0000896519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004903801,"about_ca_topic_score_gemma":0.0001653633,"domain_scores_codex":[0.995284,0.0005453319,0.001211862,0.0009230293,0.001294935,0.0007407932],"domain_scores_gemma":[0.9969531,0.0003839759,0.001163195,0.0009600431,0.0000459927,0.0004937341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008870634,0.0002884474,0.8117951,0.00001080322,0.0002599264,0.00004639199,0.0002892085,0.003522984,0.006224852,0.00005865373,0.1630676,0.01434725],"study_design_scores_gemma":[0.0008690379,0.00003024201,0.8698375,0.00003380629,0.0002883985,0.00004652988,0.001309813,0.0008937531,0.002007004,0.01351885,0.1101749,0.0009902611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420824,0.005391752,0.0005120222,0.0005786482,0.0007645099,0.0005078879,0.00008879163,0.00008321455,0.04999077],"genre_scores_gemma":[0.9912726,0.002672201,0.0003365196,0.001659617,0.0001566115,0.0001254025,0.0000295474,0.00007847962,0.003669041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312931,"threshold_uncertainty_score":0.9997693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1655877118128177,"score_gpt":0.5117597356497491,"score_spread":0.3461720238369314,"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."}}