{"id":"W2263124642","doi":"10.32920/ryerson.14640099","title":"Rural Broadband Development in Canada’s Provinces: An Overview of Policy Approaches","year":2021,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Broadband; Subsidy; Context (archaeology); Digital divide; Internet access; Business; The Internet; Incentive; Investment (military); Competition (biology); Private sector; Economic growth; Rural area; Telecommunications; Economics; Political science; Geography; Engineering; Market economy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00210587,0.0007113913,0.0004951141,0.008177809,0.00948393,0.006909078,0.001481576,0.001249789,0.00364704],"category_scores_gemma":[0.003448499,0.0004411606,0.0005984047,0.01640141,0.003148395,0.00134998,0.00163936,0.001925391,0.0002070685],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2604169,"about_ca_system_score_gemma":0.4334648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973986,"about_ca_topic_score_gemma":0.9980946,"domain_scores_codex":[0.9970452,0.0002975778,0.00009266011,0.0001533495,0.001083934,0.001327211],"domain_scores_gemma":[0.9962853,0.0005127612,0.0001407852,0.00005930606,0.002353738,0.000648194],"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":[0.0001387231,0.0003050783,0.03940352,0.005614867,0.0001800287,0.0007459372,0.008854266,0.01207086,0.001279939,0.3873875,0.09191947,0.4520998],"study_design_scores_gemma":[0.000041362,0.00006109603,0.07229742,0.004134553,0.000144028,0.0002006613,0.01683236,0.002394652,0.0009681849,0.0119594,0.8908228,0.000143495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0715397,0.4278584,0.006183361,0.1118087,0.001029675,0.0007247796,0.005439539,0.0003590393,0.3750568],"genre_scores_gemma":[0.4801676,0.4516051,0.01331552,0.009765848,0.0002444494,0.0002796099,0.001660898,0.00009671311,0.04286432],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2604169,"threshold_uncertainty_score":0.8578116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057834979863424,"score_gpt":0.2563921607151867,"score_spread":0.1985571808517627,"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."}}