{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008835776,0.0005278048,0.0003207646,0.006191916,0.002610438,0.00270996,0.001435618,0.0004212168,0.004383194],"category_scores_gemma":[0.02924727,0.0001353859,0.0004426377,0.005875242,0.0009928982,0.001458319,0.002540451,0.0007894615,0.0004318196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03659955,"about_ca_system_score_gemma":0.04174041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8512543,"about_ca_topic_score_gemma":0.9122878,"domain_scores_codex":[0.993906,0.001329281,0.00022357,0.0002583018,0.003215665,0.001067228],"domain_scores_gemma":[0.969361,0.002479164,0.002628868,0.0007115948,0.02031094,0.004508342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004106537,0.001348158,0.6369857,0.0004506096,0.0001833221,0.0000965722,0.005538881,0.01857822,0.0005104574,0.01341149,0.04402846,0.2784575],"study_design_scores_gemma":[0.00006875952,0.0006388224,0.9157726,0.0005199792,0.0001162965,0.00004057163,0.01013203,0.03020742,0.002201,0.003102141,0.03706522,0.0001350842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454404,0.0009900307,0.009638019,0.003098362,0.0001172364,0.001890524,0.01063424,0.0004737647,0.1277173],"genre_scores_gemma":[0.9875845,0.000184065,0.006218791,0.00007446379,0.0000103142,0.0004526368,0.00221789,0.00002674667,0.003230526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487457,"threshold_uncertainty_score":0.2992434,"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."}}