{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001738674,0.000955997,0.000387642,0.00303028,0.002865364,0.006871004,0.001453731,0.002184266,0.5465701],"category_scores_gemma":[0.007341204,0.0002943868,0.0005137124,0.004792915,0.0006431108,0.004685492,0.003281871,0.001742649,0.3566934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216633,"about_ca_system_score_gemma":0.003612601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003640361,"about_ca_topic_score_gemma":0.004707275,"domain_scores_codex":[0.9971878,0.0004996081,0.0001777452,0.0004438364,0.001181935,0.000509106],"domain_scores_gemma":[0.9945813,0.0007757004,0.0002734453,0.0008208762,0.00214147,0.001407183],"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":[0.0001240893,0.0001028301,0.0008538355,0.0002984278,0.000005142315,0.0002620163,0.0004749673,0.00010679,0.000530303,0.049528,0.7915617,0.1561519],"study_design_scores_gemma":[0.000005227062,0.000009132055,0.0002145385,0.00003850232,0.000001163923,0.0000943283,0.00009094428,0.00001733437,0.00008511131,0.0005613221,0.9988791,0.000003236976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001957471,0.001076404,0.001414026,0.002235282,0.001415146,0.0001628096,0.004040848,0.001681414,0.9860167],"genre_scores_gemma":[0.01321806,0.001766295,0.001711185,0.002094619,0.0004709015,0.0001642108,0.00624291,0.0007787587,0.973553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5465701,"threshold_uncertainty_score":0.6467627,"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."}}