{"id":"W4245540140","doi":"10.1002/9781118786352.wbieg0458","title":"Aid","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Neoliberalism (international relations); State (computer science); Political science; Humanitarian aid; Corporate governance; Inclusion (mineral); Cold war; Development aid; Public administration; Political economy; Economic growth; Sociology; Economics; Politics; Law; Social science; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103454,0.0006123623,0.0003111644,0.002068573,0.001819281,0.005626862,0.001144186,0.001197159,0.4022062],"category_scores_gemma":[0.003819785,0.0002102244,0.0003739847,0.002177953,0.0004985565,0.001644225,0.002883046,0.001460529,0.1756143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941604,"about_ca_system_score_gemma":0.005486924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005569542,"about_ca_topic_score_gemma":0.005163612,"domain_scores_codex":[0.998853,0.0001996299,0.00006629079,0.0001504119,0.0004553242,0.0002753453],"domain_scores_gemma":[0.9984768,0.0001488342,0.00007401934,0.0001478933,0.0008059815,0.000346532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002209908,0.00002563724,0.0004769418,0.0001725492,0.000005294057,0.00006412059,0.00008763276,0.0001519517,0.00007365792,0.04631348,0.8527684,0.09983813],"study_design_scores_gemma":[0.000002952952,0.000003308048,0.0001895112,0.00005035061,0.000001004493,0.00004065282,0.00004736909,0.0000246974,0.00003932079,0.001167877,0.9984314,0.000001477547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007544555,0.001342645,0.0005452282,0.003390109,0.001703875,0.0001068633,0.003815548,0.0003279714,0.9880131],"genre_scores_gemma":[0.01897464,0.003726759,0.001301661,0.002595342,0.0006518583,0.0001478875,0.006525472,0.0002197586,0.9658567],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4022062,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009198406500396815,"score_gpt":0.2899455201125041,"score_spread":0.2807471136121072,"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."}}