{"id":"W4411618141","doi":"10.51847/v8mjbalcu7","title":"10.51847/v8mjbALcU7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Poverty reduction; Socioeconomics; Environmental health; Medicine; Economic growth; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006533039,0.00068972,0.0005112974,0.002170064,0.001320049,0.003720291,0.0008923069,0.002203526,0.9536938],"category_scores_gemma":[0.001552007,0.0003161004,0.0003294817,0.002438771,0.0009485043,0.002044758,0.002047809,0.001102964,0.9464704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009273081,"about_ca_system_score_gemma":0.0006517963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145153,"about_ca_topic_score_gemma":0.003839202,"domain_scores_codex":[0.999602,0.00007337036,0.00002869736,0.00008109734,0.0001265754,0.00008826276],"domain_scores_gemma":[0.9989738,0.0002302271,0.00007426291,0.0001706519,0.0002955368,0.00025536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001433622,0.0001400823,0.001655772,0.0002190329,0.00000907569,0.0001640721,0.00009201479,0.0001595233,0.0009571945,0.01278313,0.531593,0.4520837],"study_design_scores_gemma":[0.00001576636,0.00003424076,0.001352506,0.0001928104,0.000003747282,0.000201542,0.0001408222,0.0002120376,0.0002836993,0.00194799,0.995605,0.000009784466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001055738,0.0005911394,0.000831573,0.00169406,0.001109891,0.00004063253,0.001092214,0.0005552063,0.9930295],"genre_scores_gemma":[0.004604744,0.0002900833,0.000464339,0.0004644475,0.0001763589,0.00002841347,0.0006731178,0.0001634491,0.993135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04630619,"threshold_uncertainty_score":0.06605017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133268948116103,"score_gpt":0.1682326686984497,"score_spread":0.1568999792172886,"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."}}