{"id":"W2476321317","doi":"10.3362/9781780448152.000","title":"Prelims – ICT Pathways to Poverty Reduction","year":2014,"lang":"en","type":"book-chapter","venue":"Practical Action Publishing eBooks","topic":"ICT Impact and Policies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Poverty reduction; Information and Communications Technology; Reduction (mathematics); Poverty; Computer science; Economics; Economic growth; Mathematics; World Wide Web","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004425517,0.0004832811,0.0004215573,0.0003856336,0.0001613335,0.00158609,0.0002395294,0.0008171971,0.0003948251],"category_scores_gemma":[0.0005746252,0.0004786034,0.0001915783,0.0000372645,0.00004151233,0.001356689,0.00009904274,0.001669923,0.000724584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972257,"about_ca_system_score_gemma":0.00009769056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004393511,"about_ca_topic_score_gemma":0.00001262565,"domain_scores_codex":[0.9981894,0.00003549287,0.0004656086,0.0002455768,0.0005690737,0.0004948509],"domain_scores_gemma":[0.9984944,0.0002367116,0.0001615357,0.0005176303,0.0001697617,0.0004199214],"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":[0.00008329488,0.00001496664,7.811391e-7,0.000197286,0.0002092933,0.000005667554,0.001375207,0.0003223688,0.003557077,0.2485307,0.6635717,0.08213165],"study_design_scores_gemma":[0.0001411604,0.00009862432,0.00001156938,0.0001157956,0.00009037306,0.000146642,0.00006771521,0.000205887,0.002168888,0.006288784,0.9901105,0.0005540486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003253041,0.00002392122,0.005125083,0.001941058,0.003673911,0.000359753,0.00004704474,0.001307365,0.9871966],"genre_scores_gemma":[0.1321252,0.00007225038,0.001026306,0.002294716,0.00637669,0.00007565045,0.0001891079,0.0004865525,0.8573536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3265388,"threshold_uncertainty_score":0.9997666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05595668114398313,"score_gpt":0.272309778749053,"score_spread":0.2163530976050698,"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."}}