{"id":"W1981206005","doi":"10.1186/1475-9276-7-2","title":"Can microcredit help improve the health of poor women? Some findings from a cross-sectional study in Kerala, India","year":2008,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"Canadian Institutes of Health Research; Université de Montréal; International Development Research Centre","keywords":"Cross-sectional study; Public health; Environmental health; Mental health; Medicine; Gerontology; Social determinants of health; Demography; Socioeconomics; Nursing; Psychiatry; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003137551,0.0001656373,0.0005350327,0.0005340948,0.0003746418,0.00008413247,0.0007090491,0.00009845229,0.0000822658],"category_scores_gemma":[0.0002144959,0.0001620065,0.0001409294,0.0002325055,0.00008656945,0.0003314861,0.0002426746,0.0005549247,0.00001408615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002666979,"about_ca_system_score_gemma":0.0006639292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01588115,"about_ca_topic_score_gemma":0.001909228,"domain_scores_codex":[0.9968387,0.00005097488,0.002004545,0.0003575902,0.0002016338,0.0005465508],"domain_scores_gemma":[0.9982699,0.0001411781,0.001177401,0.0001596696,0.0001312113,0.0001205998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003533126,0.0006062356,0.9837111,0.00002667219,0.00004072657,0.00001488321,0.007287991,0.00006722109,0.00008751728,0.006111447,0.0007517538,0.0009411366],"study_design_scores_gemma":[0.002527564,0.0007504597,0.9460847,0.00005345417,3.931991e-7,0.00003355913,0.0003384224,0.0001316649,0.00004345642,0.0466125,0.003280758,0.0001430668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988353,0.001223753,0.0001866456,0.004680954,0.003336779,0.0006572197,0.001517285,0.000006408915,0.00003797374],"genre_scores_gemma":[0.9954778,0.001248838,0.0001680695,0.002077058,0.0006894537,0.00006702389,0.00004687964,0.00001906048,0.0002058328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050106,"threshold_uncertainty_score":0.9906722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08123085635842672,"score_gpt":0.3783246663574006,"score_spread":0.2970938099989738,"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."}}