{"id":"W2047111689","doi":"10.4102/rw.v3i1.20","title":"Libraries and information provision for African relief","year":2012,"lang":"en","type":"article","venue":"Reading & Writing","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"The Internet; Reading (process); Poverty; Public relations; Internet access; Political science; Internet privacy; Business; World Wide Web; Computer science","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":[0.002099246,0.0002614674,0.0002487859,0.002348697,0.008513878,0.01229238,0.0004525574,0.002781171,0.02877392],"category_scores_gemma":[0.006553388,0.0002108386,0.0001741851,0.005775858,0.005032856,0.00987382,0.007452227,0.001751157,0.00308281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003418507,"about_ca_system_score_gemma":0.009535321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775388,"about_ca_topic_score_gemma":0.006905761,"domain_scores_codex":[0.9969549,0.001859895,0.0001371654,0.0001003983,0.0002976229,0.0006500416],"domain_scores_gemma":[0.9955981,0.001979091,0.001000724,0.0002138901,0.0004466494,0.0007615478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008960452,0.0001187063,0.00594899,0.001961628,0.00002943273,0.001972691,0.07034945,0.0003866234,0.0006068831,0.5290194,0.1336587,0.2558579],"study_design_scores_gemma":[0.00001154254,0.00003235665,0.003090807,0.001210418,0.00001291093,0.0005100112,0.03097328,0.00006098241,0.000230772,0.01846882,0.9453776,0.00002032748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06172232,0.07844809,0.002219906,0.2897032,0.001326039,0.00008747551,0.0002193816,0.0001851754,0.5660884],"genre_scores_gemma":[0.775687,0.06516746,0.003508643,0.02172698,0.001297831,0.0001022727,0.0001327139,0.0000964318,0.1322807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02877392,"threshold_uncertainty_score":0.0962584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915036384039406,"score_gpt":0.2439308277713403,"score_spread":0.2247804639309462,"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."}}