{"id":"W4366775322","doi":"10.29173/cjnser620","title":"Community Economies in the Global South: Case Studies of Rotating Savings and Credit Associations and Economic Cooperation","year":2023,"lang":"en","type":"article","venue":"Canadian journal of nonprofit and social economy research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Economic geography; Economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004984651,0.00008980725,0.0003979928,0.0003678396,0.001206805,0.0001587087,0.0001533585,0.0001043287,0.00001180946],"category_scores_gemma":[0.0003347782,0.00009245327,0.00004394961,0.000222156,0.0004156507,0.000298566,0.00008145571,0.0004136463,0.000007730708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029764,"about_ca_system_score_gemma":0.0002804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01761817,"about_ca_topic_score_gemma":0.09265935,"domain_scores_codex":[0.9987943,0.0001501247,0.0006134798,0.0001320425,0.00002190962,0.0002881406],"domain_scores_gemma":[0.9990916,0.0002958242,0.0003241159,0.00008330438,0.000116037,0.0000891797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000017839,0.00001381602,0.7275988,0.0001071835,0.00008525544,0.0001160804,0.0863831,0.00002201034,0.000003813394,0.1786587,0.001557026,0.005436404],"study_design_scores_gemma":[0.002227708,0.0005726511,0.6444829,0.0001047643,0.00002681321,0.0003968767,0.1315303,0.001581415,0.0000175416,0.2045882,0.01395618,0.0005146019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931555,0.002467486,0.000004238127,0.002284214,0.00009060166,0.0001654194,0.0001765599,0.000001839065,0.001654132],"genre_scores_gemma":[0.9992013,0.0004726818,0.00003303762,0.00007891428,0.0001516042,0.000008666984,0.000005777845,0.000006724338,0.00004129288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08311594,"threshold_uncertainty_score":0.9889236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2043424522352968,"score_gpt":0.3705805330327821,"score_spread":0.1662380807974853,"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."}}