{"id":"W2810200651","doi":"10.3138/cjpe.36295","title":"Building Community Capacity: Self-Assessment Performance Metrics for Canadian Microcredit Programs","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business; Capacity building; Microfinance; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006741717,0.0001529092,0.0003222692,0.001072688,0.001318172,0.0003642167,0.0004890949,0.0001403117,0.0001129369],"category_scores_gemma":[0.0004327481,0.0001828838,0.0001332581,0.0007509337,0.0001101034,0.000459394,0.00001525045,0.0004724561,0.00001782322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317008,"about_ca_system_score_gemma":0.003596541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1827893,"about_ca_topic_score_gemma":0.6323521,"domain_scores_codex":[0.9984139,0.0001305313,0.0006778764,0.0001149139,0.0001140496,0.0005487022],"domain_scores_gemma":[0.9973308,0.00007008211,0.0005614459,0.0002448107,0.001078851,0.0007140139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001174057,0.0001789,0.3174327,0.00007389903,0.0003084955,0.000001853982,0.00938173,0.00001588335,0.00001009989,0.01208544,0.002465701,0.6580336],"study_design_scores_gemma":[0.002944011,0.003510715,0.5045697,0.0001956548,0.0002023161,0.00005312887,0.001888988,0.03382336,0.0001299521,0.04025501,0.411488,0.000939088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99134,0.0003030781,0.001436054,0.0005927574,0.001082432,0.001346688,0.00004374403,0.00001921501,0.003835999],"genre_scores_gemma":[0.9504638,0.00001752898,0.04889965,0.0001269383,0.0003342577,0.00007966548,0.00003558159,0.00002289348,0.00001973662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6570945,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321407092303908,"score_gpt":0.3541149974243884,"score_spread":0.1219742881939976,"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."}}