{"id":"W7145419594","doi":"","title":"貧困層の社会的包摂に取り組むスペインのマイクロクレジット","year":2011,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Financial institution; Quarter (Canadian coin); Focus group; Institution; Social assistance; Immigration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003250349,0.0002923941,0.0005513763,0.006035679,0.0003308749,0.001479317,0.0005439752,0.0003101158,0.00845931],"category_scores_gemma":[0.006706814,0.0001556996,0.0003061981,0.009716745,0.0002523955,0.0007135026,0.0007241992,0.0005210576,0.003924359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249346,"about_ca_system_score_gemma":0.003879282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0828407,"about_ca_topic_score_gemma":0.05935229,"domain_scores_codex":[0.9983376,0.0002980286,0.0002643541,0.0001859153,0.0007014512,0.0002126071],"domain_scores_gemma":[0.9898085,0.001927946,0.001348571,0.0004678166,0.006141881,0.000305336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002448876,0.0001600422,0.3901452,0.001127575,0.0001026893,0.000220263,0.0008749661,0.001718397,0.0006397922,0.00799608,0.3324896,0.2642804],"study_design_scores_gemma":[0.00003027484,0.00008868703,0.472887,0.0003121989,0.00006355178,0.0001760431,0.002540297,0.001960449,0.00136596,0.001439655,0.5190825,0.00005330996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2689403,0.01068258,0.008829509,0.008977885,0.001103407,0.0004580116,0.5441319,0.001139329,0.155737],"genre_scores_gemma":[0.4741847,0.01520697,0.01413411,0.001197526,0.0005144798,0.0006547378,0.4183839,0.0002504151,0.07547315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0828407,"threshold_uncertainty_score":0.164717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09655748944419106,"score_gpt":0.2502340236010801,"score_spread":0.153676534156889,"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."}}