{"id":"W2218697551","doi":"","title":"A Map of Broadband Availability in Canada's Indigenous and Northern Communities: Access, Management Models, and Digital Divides (Circa 2009)","year":2010,"lang":"en","type":"article","venue":"Communication, politics & culture","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Geography; Census; Framing (construction); Broadband; Context (archaeology); Environmental resource management; Regional science; Telecommunications; Sociology; Computer science; Population; Archaeology; Ecology","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":[0.00008994676,0.0001542696,0.0001885058,0.00005739043,0.0001398162,0.0001200216,0.0004921179,0.00007622709,0.00001242642],"category_scores_gemma":[0.000009122698,0.0001473227,0.00001659701,0.00006920443,0.0001847779,0.0003077196,0.0002479671,0.0003271578,8.608956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042948,"about_ca_system_score_gemma":0.00009775796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4201232,"about_ca_topic_score_gemma":0.8567113,"domain_scores_codex":[0.9993064,0.00003311424,0.0002563311,0.00004811813,0.0001085112,0.0002475053],"domain_scores_gemma":[0.9989971,0.00007544168,0.00004746555,0.0007078189,0.00007959634,0.00009257031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007856954,0.0001198072,0.8235829,0.001021734,0.0001543729,0.000001138867,0.1589538,0.002371481,0.00005936396,0.007580483,0.003661774,0.002485282],"study_design_scores_gemma":[0.001728938,0.00006507641,0.7836117,0.0004048373,0.000129048,0.00005583844,0.05810785,0.009412178,0.0004256454,0.03721104,0.1074582,0.001389721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903221,0.003345856,0.00002358577,0.0001385686,0.00003674228,0.0001955511,0.0002665213,0.00003540278,0.005635698],"genre_scores_gemma":[0.9981422,0.001373435,0.00009433193,0.00008124657,0.00001379503,0.0000127823,0.0001085809,0.00001843436,0.000155136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365881,"threshold_uncertainty_score":0.6007646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321433416348037,"score_gpt":0.2300187596193253,"score_spread":0.216804425455845,"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."}}