{"id":"W2137920714","doi":"10.29173/iq888","title":"Data in Development: An Overview of Microdata on Developing Countries","year":2010,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Microdata (statistics); Computer science; Data science; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007803768,0.0001608975,0.0003977941,0.0002366061,0.0001079752,0.00005280008,0.0008317433,0.000137285,0.0001360214],"category_scores_gemma":[0.00003735016,0.0001848064,0.00002886881,0.0002491912,0.00006678118,0.0005463032,0.000113405,0.0002072154,0.0003615168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139595,"about_ca_system_score_gemma":0.0001112405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003632807,"about_ca_topic_score_gemma":0.004070923,"domain_scores_codex":[0.9983393,0.00001119841,0.0007981821,0.0005332381,0.00004904688,0.000269031],"domain_scores_gemma":[0.9985087,0.000030309,0.0003354139,0.001053224,0.00002999887,0.00004235104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001048259,0.0005557648,0.1101484,0.0003265344,0.00003345774,0.00002678956,0.006354379,7.141306e-7,0.00297845,0.8061336,0.002081905,0.07125516],"study_design_scores_gemma":[0.0005291781,0.0001301153,0.3365663,0.0001343061,0.000002180926,0.00000386403,0.00008199824,0.00005147215,0.001308841,0.005501346,0.6553025,0.0003879532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940138,0.001452214,0.0007019669,0.000458235,0.0005763446,0.0001545986,0.0006503676,0.00002135615,0.001971103],"genre_scores_gemma":[0.9920822,0.0003648204,0.006424256,0.0005027296,0.00009429664,0.00001114214,0.0003744599,0.00002586411,0.0001202511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8006323,"threshold_uncertainty_score":0.7536187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311141523470521,"score_gpt":0.3132564839107914,"score_spread":0.1821423315637393,"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."}}