{"id":"W4372215942","doi":"10.1145/3572334.3572402","title":"Commissioning Development: Grantmaking, Community Voices, and their Implications for ICTD","year":2022,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Project commissioning; Sustainable development; Insider; Workflow; Public relations; Political science; Process (computing); Politics; Bridge (graph theory); Publishing; Knowledge management; Business; Management; Computer science; Medicine; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09840022,0.0004875291,0.0006370112,0.003563886,0.02074099,0.02856387,0.002644924,0.004305571,0.006670685],"category_scores_gemma":[0.18977,0.0005640919,0.000510958,0.004718145,0.03901486,0.02163082,0.02654822,0.005950102,0.0004225238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0147509,"about_ca_system_score_gemma":0.03572517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008219542,"about_ca_topic_score_gemma":0.008499665,"domain_scores_codex":[0.8521859,0.1228019,0.004060477,0.003713232,0.008610149,0.008628373],"domain_scores_gemma":[0.7842347,0.1661419,0.01112264,0.009891216,0.01029387,0.01831562],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008000019,0.0001669849,0.01519562,0.0005158922,0.00002601487,0.0009987935,0.627356,0.0005291461,0.0005640869,0.2450155,0.005065019,0.104487],"study_design_scores_gemma":[0.00003012099,0.00006655901,0.004148528,0.0009311864,0.00002062938,0.0002830213,0.7517172,0.0006355919,0.0004642406,0.157251,0.08438276,0.00006909837],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5394351,0.00531592,0.04948071,0.1752156,0.00125365,0.001053917,0.0001289741,0.0001858124,0.2279303],"genre_scores_gemma":[0.9894381,0.000855251,0.004414734,0.002328028,0.00007366297,0.0002500487,0.00002225559,0.00004453379,0.002573395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9015998,"threshold_uncertainty_score":0.5203964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06299285455221779,"score_gpt":0.2849634881573673,"score_spread":0.2219706336051495,"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."}}