{"id":"W2783639881","doi":"10.17501/icoss.2017.4105","title":"AN EXAMINATION OF MULTIDIMENSIONAL POVERTY PROFILE IN LIMPOPO, SOUTH AFRICA: IMPLICATIONS FOR THE USE OF CBMS GENERATED DATA FOR INTEGRATED DEVELOPMENT PLANNING","year":2018,"lang":"en","type":"article","venue":"International Conference on Social Sciences/International Conference on Marketing","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Government of Canada","keywords":"Poverty; Development (topology); Computer science; Geography; Environmental planning; Economic growth; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005411528,0.0001816239,0.0002327052,0.003547098,0.001110423,0.001903319,0.000460694,0.0002030078,0.002238036],"category_scores_gemma":[0.02407812,0.0001971506,0.0002013874,0.009011116,0.0005760833,0.001663695,0.001979143,0.0003730893,0.0001474142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907777,"about_ca_system_score_gemma":0.002667896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02610067,"about_ca_topic_score_gemma":0.03081558,"domain_scores_codex":[0.9962898,0.002355285,0.000316555,0.0001777851,0.000633045,0.0002275663],"domain_scores_gemma":[0.9914979,0.004588622,0.001412941,0.0005728821,0.001641348,0.0002862672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002371873,0.0001159204,0.7382554,0.0007134439,0.00009972384,0.001447711,0.0708694,0.00276954,0.001907862,0.008189764,0.002809971,0.1725841],"study_design_scores_gemma":[0.00001386755,0.0001636186,0.7587345,0.0008366527,0.00004638492,0.0005443837,0.2085439,0.007258789,0.00137907,0.003376009,0.0190423,0.000060571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986827,0.0001845421,0.003667769,0.001518279,0.00001030615,0.0002436729,0.001747487,0.00002767998,0.005773078],"genre_scores_gemma":[0.9944213,0.0001744345,0.004430863,0.00004856749,0.000002681649,0.0001997065,0.0004081982,0.000007459474,0.000306671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02610067,"threshold_uncertainty_score":0.05189747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4222272394129199,"score_gpt":0.3944013024714987,"score_spread":0.02782593694142121,"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."}}