{"id":"W2246196852","doi":"","title":"Beyond Infrastructure: Broadband for Development in Remote and Indigenous Regions","year":2014,"lang":"en","type":"article","venue":"ScholarWorks-UA (University of Alaska Fairbanks)","topic":"ICT Impact and Policies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Indigenous; Broadband networks; Business; Internet access; Telecommunications; The Internet; Rural area; Computer science; Political science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0002318469,0.0001672851,0.0002491435,0.0002747946,0.0002101107,0.00003287849,0.0002130496,0.0001864383,0.00002008955],"category_scores_gemma":[0.0000343631,0.0002066467,0.00005110159,0.0002599131,0.00008646824,0.0003582414,0.0000651362,0.0002735656,0.000006732168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000954397,"about_ca_system_score_gemma":0.00005443346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287017,"about_ca_topic_score_gemma":0.0004031786,"domain_scores_codex":[0.9992362,0.00002390961,0.000138313,0.0001129701,0.0001237538,0.0003648477],"domain_scores_gemma":[0.9995062,0.00007794614,0.00005017422,0.0001927767,0.00004709865,0.0001258027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004434489,0.0001346628,0.06768747,0.001396143,0.000657737,0.000023396,0.3221799,0.01803408,0.004779416,0.008167093,0.02414229,0.5523543],"study_design_scores_gemma":[0.005926884,0.0003042251,0.7362976,0.0004864791,0.0001374653,0.00005101646,0.0121206,0.00748146,0.003325789,0.009099702,0.2231797,0.001589072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817368,0.0003090273,0.01529614,0.0001223526,0.0001380946,0.0002304949,0.00001148785,0.0000905364,0.002065097],"genre_scores_gemma":[0.9916121,0.0001215328,0.007630787,0.0000459771,0.0000372515,2.826389e-7,0.00001964382,0.00002206484,0.0005103932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6686102,"threshold_uncertainty_score":0.8426809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006496189073718186,"score_gpt":0.1906404691944263,"score_spread":0.1841442801207082,"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."}}