{"id":"W4396699841","doi":"10.5539/ibr.v17n3p13","title":"Exploring the Relationship between Digital Inclusive Finance and Traditional Finance in China","year":2024,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Finance; Corporate finance; Economics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009144774,0.00006089095,0.0000569843,0.0002225923,0.0004275655,0.0003438415,0.0002916542,0.00003203963,0.00003568462],"category_scores_gemma":[0.0006135877,0.00004893425,0.00001866795,0.0007019096,0.0004200042,0.001058181,0.0001421197,0.0002977719,0.00007792559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048224,"about_ca_system_score_gemma":0.0001976793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003707277,"about_ca_topic_score_gemma":0.0001034277,"domain_scores_codex":[0.9984227,0.00007455394,0.0001411794,0.0002074412,0.0009512769,0.0002027788],"domain_scores_gemma":[0.9984038,0.001424459,0.00001460181,0.00005989031,0.00007279244,0.00002438946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002072063,0.00004104744,0.5615197,0.00001641787,0.00001785422,0.00005513841,0.008937292,0.0002963886,0.000004353738,0.3948992,0.001895066,0.03229682],"study_design_scores_gemma":[0.00005517262,0.000003220719,0.8573745,0.0001082119,5.297148e-7,0.000001429258,0.0001964609,0.0000608626,0.000001706489,0.04733754,0.09480748,0.0000528876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276366,0.0002123973,0.0001125145,0.05022326,0.0003390675,0.0001409305,0.00002322083,0.00001538667,0.02129667],"genre_scores_gemma":[0.9950989,0.0009900435,0.00004606393,0.00001459726,0.0004958844,0.00008924869,0.00004016967,0.000006794597,0.003218304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475617,"threshold_uncertainty_score":0.3315671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2989245988087783,"score_gpt":0.3948614625828357,"score_spread":0.09593686377405741,"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."}}