{"id":"W1602944988","doi":"10.15353/joci.v8i3.3031","title":"Ambiguity and Uncertainty in the “Last Mile”: Using Sense-making to Explore How Rural Broadband Networks Are Created","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"ICT Impact and Policies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Business; Nexus (standard); Economic growth; Telecommunications; Broadband networks; Ambiguity; Rural area; Political science; Economics; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03005166,0.001131445,0.0008844534,0.005618414,0.0110895,0.02059542,0.003137701,0.004610226,0.001494186],"category_scores_gemma":[0.03902876,0.0008103978,0.001606149,0.004352022,0.05590601,0.03051377,0.01524542,0.005851009,0.000199995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007607147,"about_ca_system_score_gemma":0.006816206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708205,"about_ca_topic_score_gemma":0.006290054,"domain_scores_codex":[0.9726198,0.02237655,0.0005657987,0.001242272,0.001952026,0.001243521],"domain_scores_gemma":[0.9606852,0.03221475,0.003084263,0.001549319,0.001343101,0.001123401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004389841,0.00003502836,0.003097966,0.0001495582,0.00003697174,0.0004118319,0.9054206,0.0007375259,0.000325821,0.07929099,0.0004570267,0.009992724],"study_design_scores_gemma":[0.00002073663,0.00004910207,0.002159632,0.0004714928,0.00003231696,0.0002512376,0.7824664,0.002199153,0.000378606,0.1978805,0.0140079,0.00008286651],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7434486,0.006603734,0.1146761,0.02384777,0.0004217546,0.0005054083,0.0001521655,0.00008937783,0.110255],"genre_scores_gemma":[0.9890426,0.0009805266,0.008418398,0.0006103261,0.00002551455,0.000137417,0.00002643529,0.00002046692,0.0007384588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03005166,"threshold_uncertainty_score":0.1589303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06304876498047726,"score_gpt":0.29262223151952,"score_spread":0.2295734665390427,"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."}}