{"id":"W4291155385","doi":"10.3390/su14169922","title":"Digital Inclusive Finance, Human Capital and Inclusive Green Development—Evidence from China","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Promotion (chess); Inclusive development; Human capital; Inclusive growth; China; Digitization; Capability approach; Inclusion (mineral); Business; Economic growth; Economics; Political science; Computer science; Sociology; Social science; Poverty","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269852,0.0003830633,0.000420732,0.002080114,0.0009997411,0.001251905,0.0005086617,0.0003139174,0.002263148],"category_scores_gemma":[0.001855815,0.0001805143,0.0006575537,0.00356156,0.001140942,0.00104073,0.00166503,0.0005154115,0.0001680296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002798999,"about_ca_system_score_gemma":0.004111581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1914538,"about_ca_topic_score_gemma":0.2237714,"domain_scores_codex":[0.9994231,0.0001102181,0.00004495975,0.00009525017,0.0001469809,0.0001795124],"domain_scores_gemma":[0.9977313,0.0006012637,0.0006583628,0.0001752464,0.0003956005,0.0004383499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004403895,0.0001171135,0.9789909,0.00009209976,0.0001289643,0.0005241512,0.001795885,0.0009345671,0.0001508217,0.003105754,0.0007488033,0.01336696],"study_design_scores_gemma":[0.00001163201,0.00003701988,0.9903558,0.00005554544,0.0001051461,0.00005182487,0.003410049,0.002572982,0.0002073031,0.0006094347,0.002566017,0.00001717537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966879,0.0004886712,0.0001640126,0.000406853,0.000005436639,0.000009448782,0.000213814,0.000003577819,0.002020183],"genre_scores_gemma":[0.9988772,0.0004031272,0.00006435472,0.00004818912,0.00000526115,0.000005259364,0.0002110082,8.779302e-7,0.0003845834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1914538,"threshold_uncertainty_score":0.3806787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009411233607954025,"score_gpt":0.214334300974854,"score_spread":0.2049230673668999,"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."}}