{"id":"W2955206837","doi":"","title":"2008. 04. 036. Клюев В. Доступ мелких заемщиков к банковскому финансированию в Канаде. Klyuev V. show me the money: access to Finance for Small borrowers in Canada. - Wash. : IMF, 2008. - 29 P. - (IMF working paper. Wp/08/22)","year":2008,"lang":"ru","type":"article","venue":"Социальные и гуманитарные науки: Отечественная и зарубежная литература. Сер. 2, Экономика: Реферативный журнал","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Finance; Financial system; Economics; Monetary economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054607,0.0008742056,0.0006166336,0.001570758,0.001104443,0.004162074,0.001549857,0.003747424,0.8786106],"category_scores_gemma":[0.001912335,0.000503026,0.0004662561,0.001814345,0.0005205569,0.002764303,0.001398919,0.001501637,0.7876044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285838,"about_ca_system_score_gemma":0.001424948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01429817,"about_ca_topic_score_gemma":0.01587077,"domain_scores_codex":[0.9997664,0.00001726373,0.00001636929,0.00004204336,0.0001000951,0.00005786909],"domain_scores_gemma":[0.9991009,0.0001293273,0.00008563596,0.00006935831,0.0003769154,0.0002377917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008051842,0.00003381756,0.0003874245,0.0001170888,0.000004845714,0.0000588144,0.00006629495,0.00002873164,0.0001123799,0.00441631,0.8969367,0.09775711],"study_design_scores_gemma":[0.00004938195,0.00002113786,0.003901047,0.0002689795,0.00001281314,0.0001887178,0.000160325,0.00007740288,0.0001739117,0.003807414,0.9913256,0.00001316123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001642743,0.009231535,0.001356591,0.01991456,0.003116868,0.00009322502,0.04432593,0.002573911,0.9177446],"genre_scores_gemma":[0.0083247,0.003216926,0.000690855,0.001153963,0.0006677512,0.00006224835,0.01065815,0.0004588455,0.9747666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9857019,"threshold_uncertainty_score":0.1731471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04372755058018563,"score_gpt":0.2244533257765127,"score_spread":0.1807257751963271,"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."}}