{"id":"W4251724578","doi":"10.32920/ryerson.14635737","title":"Closing Canada's digital divide: a review of policies in Canada and abroad","year":2021,"lang":"en","type":"review","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Leverage (statistics); Closing (real estate); Digital divide; Digital literacy; Broadband; Political science; Literacy; Public relations; Telecommunications; Business; Economic growth; Information and Communications Technology; Computer science; Economics","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":[0.004407824,0.001035858,0.00185468,0.01386201,0.003001181,0.00496643,0.0016614,0.001552805,0.003910507],"category_scores_gemma":[0.01151551,0.0005127166,0.0009456627,0.03226872,0.002344478,0.001943152,0.001261503,0.002033334,0.000323517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05711026,"about_ca_system_score_gemma":0.2280796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9167507,"about_ca_topic_score_gemma":0.9595433,"domain_scores_codex":[0.9974492,0.0002991122,0.0002609052,0.0002138963,0.001451688,0.0003251526],"domain_scores_gemma":[0.9895948,0.003004091,0.000839812,0.0001333255,0.005662615,0.0007653714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001478945,0.00007142849,0.002492425,0.1221571,0.0004140748,0.0003021354,0.001585816,0.001355248,0.0005729632,0.03383568,0.1216403,0.7154249],"study_design_scores_gemma":[0.00001697226,0.00003394698,0.007607529,0.07011984,0.0006063142,0.0001243233,0.001272841,0.00009800241,0.0002808053,0.001221761,0.9185657,0.00005208305],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003804486,0.9942977,0.00004955599,0.001992068,0.0001669581,0.00001215509,0.0002489704,0.000007055733,0.002845088],"genre_scores_gemma":[0.004408093,0.9942164,0.0001312845,0.0006491666,0.00003614664,0.000008203364,0.0001143253,0.000003445151,0.0004329103],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08324933,"threshold_uncertainty_score":0.4143659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639563966645614,"score_gpt":0.2773381924550823,"score_spread":0.2609425527886262,"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."}}