{"id":"W4245004514","doi":"10.1002/9781405186407.wbiect026","title":"Telecenters","year":2010,"lang":"en","type":"other","venue":"The International Encyclopedia of Communication","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Citizen journalism; Information and Communications Technology; Business; Digital divide; Telecommunications; Information technology; European union; Political science; Economic growth; Public relations; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008085035,0.000108709,0.0001052681,0.0001139677,0.00001695206,0.00001302711,0.001062652,0.0001177542,0.001220189],"category_scores_gemma":[0.00002449166,0.00008404921,0.00004803651,0.00004789689,0.00007583753,0.00003099834,0.00007555905,0.0002825269,0.00008097065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000199119,"about_ca_system_score_gemma":0.000014329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002901636,"about_ca_topic_score_gemma":0.0003531448,"domain_scores_codex":[0.9995665,0.00001578217,0.0001545057,0.00002452317,0.0001616469,0.00007703141],"domain_scores_gemma":[0.999241,0.00007190143,0.00009353153,0.0005496785,0.00002667651,0.00001719835],"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":[0.000002656638,0.00001311548,0.00006269625,0.000015524,0.0001018348,4.709741e-8,0.0007131573,0.00008126634,0.0001963675,0.004302621,0.9855558,0.008954866],"study_design_scores_gemma":[0.00006544242,0.000002553481,0.0001551732,0.00005986806,0.00001284866,0.000001849935,0.00004627385,0.0001740979,0.0001418842,0.000351506,0.9989085,0.00008001382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006495764,0.0009238134,0.00008385863,0.0005132802,0.0008699462,0.0000998226,0.00004539725,0.0001657874,0.9966485],"genre_scores_gemma":[0.0542627,0.0296199,0.0005739065,0.0001482056,0.0006119052,0.00003520785,0.0002826275,0.0003729311,0.9140926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0825559,"threshold_uncertainty_score":0.9996929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007375779616502324,"score_gpt":0.2415983844735143,"score_spread":0.234222604857012,"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."}}