{"id":"W2053597551","doi":"10.5539/ibr.v7n9p173","title":"Study on Inclusive Finance from the Biggest Commercial Banks in China","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Finance; Financial system; Commercial bank","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001921666,0.0001538964,0.0002891298,0.0004103862,0.0003622888,0.000140485,0.001148134,0.000107091,0.0002329787],"category_scores_gemma":[0.001131425,0.00013596,0.00005277848,0.0009234119,0.0001385659,0.0002119797,0.0007005663,0.0006215917,0.001211415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267759,"about_ca_system_score_gemma":0.00004700463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052664,"about_ca_topic_score_gemma":0.001796198,"domain_scores_codex":[0.9982266,0.0001115563,0.0005216615,0.0005299916,0.0002516145,0.0003586103],"domain_scores_gemma":[0.9986869,0.0004186793,0.0001569585,0.0004787793,0.0002307909,0.0000279688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003224927,0.001563943,0.8241633,0.000006042473,0.00003383339,0.00005435848,0.004390846,0.0003992634,0.000114779,0.1314717,0.00830573,0.02917371],"study_design_scores_gemma":[0.0008031182,0.00008344484,0.8951772,0.00004949136,6.296088e-7,7.471691e-7,0.00006911339,0.0002643414,0.00005679647,0.01847844,0.08487672,0.0001398942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528319,0.000219034,0.0005292973,0.01257578,0.0009795876,0.0004032709,0.00014527,0.00001348908,0.03230235],"genre_scores_gemma":[0.997713,0.0002257678,0.00003769488,0.0004733279,0.0007831408,0.00008770002,0.00004866751,0.00002273,0.0006080078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1129933,"threshold_uncertainty_score":0.9995663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07801261258119285,"score_gpt":0.3510922933848501,"score_spread":0.2730796808036572,"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."}}