{"id":"W3213857544","doi":"10.82308/32584","title":"Understanding the disparity in financial capability across individuals' social locations: A new dimension of inequality","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dimension (graph theory); Inequality; Social inequality; Economics; Economic inequality; Computer science; Business; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.004797095,0.0003042464,0.0006185492,0.004366338,0.004309316,0.005164739,0.001137849,0.000837799,0.003253696],"category_scores_gemma":[0.01375828,0.000240962,0.0003787309,0.003184558,0.008445702,0.01001396,0.007695734,0.002299977,0.0001318369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004538218,"about_ca_system_score_gemma":0.004914867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07682611,"about_ca_topic_score_gemma":0.09052199,"domain_scores_codex":[0.9967437,0.001354319,0.0001561947,0.0004106592,0.0006698712,0.0006651756],"domain_scores_gemma":[0.993389,0.003520826,0.001090232,0.0003574224,0.000796689,0.0008458086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008535104,0.0001654653,0.3740291,0.0004815512,0.0001284938,0.0005494622,0.4370216,0.0003893919,0.0004430915,0.0797186,0.004249668,0.1027383],"study_design_scores_gemma":[0.00001276051,0.0001246972,0.3930804,0.001509129,0.00007844298,0.0002978547,0.5177374,0.0009916988,0.000210135,0.05869577,0.02718918,0.00007254098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371978,0.004188564,0.00455643,0.01628054,0.0001627566,0.00006184616,0.0004379053,0.00001309439,0.03710107],"genre_scores_gemma":[0.9972023,0.001074405,0.0006329864,0.0005664707,0.00003844975,0.00003727246,0.00007727874,0.000004784124,0.0003661048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07682611,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07781744491235439,"score_gpt":0.2659725379685534,"score_spread":0.188155093056199,"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."}}