{"id":"W2381460704","doi":"","title":"Analysis of the Flow of Credit Funds in 2009","year":2010,"lang":"en","type":"article","venue":"Commercial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Real estate; Quarter (Canadian coin); Flow of funds; Finance; Financial system; China","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":[],"consensus_categories":[],"category_scores_codex":[0.001188132,0.00005663278,0.0001974253,0.0004313837,0.00007549413,0.00002943982,0.0005583474,0.0000569499,0.0003223093],"category_scores_gemma":[0.0005597832,0.00004281745,0.000100962,0.004212804,0.0001755648,0.0002082691,0.0002665384,0.0003883713,0.00002405733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009916367,"about_ca_system_score_gemma":0.00005414048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004488363,"about_ca_topic_score_gemma":0.02177627,"domain_scores_codex":[0.998921,0.00002114909,0.0002133846,0.0001282981,0.0005021483,0.0002139886],"domain_scores_gemma":[0.9990094,0.0000963581,0.0001301692,0.0004101362,0.0003482074,0.000005740882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005024531,0.0000958232,0.9629882,0.00003590803,0.00002467179,0.000001643015,0.0000386413,0.00008367644,0.001951511,0.003968538,0.01217574,0.01858538],"study_design_scores_gemma":[0.0001688977,0.000004756085,0.9585145,0.00001805174,0.00002893086,2.36313e-8,0.00002133686,0.003488704,0.0001835794,0.0005806597,0.03694779,0.00004272936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987341,0.00002903624,0.00001524345,0.001273923,0.0002317955,0.0001050968,0.00001419949,0.000003747778,0.01098594],"genre_scores_gemma":[0.999099,0.00001095479,0.00001332231,0.0001042084,0.0003036458,0.000006376406,0.000004614442,0.000005760049,0.0004521801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02477206,"threshold_uncertainty_score":0.9960738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08069492059828207,"score_gpt":0.3379193964224231,"score_spread":0.2572244758241411,"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."}}