{"id":"W4237921796","doi":"10.32920/ryerson.14635737.v1","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; Business; Telecommunications; 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":[0.004407821,0.001035858,0.001854679,0.01386203,0.00300118,0.00496643,0.001661399,0.001552804,0.003910505],"category_scores_gemma":[0.0115155,0.0005127166,0.0009456631,0.03226875,0.002344479,0.001943151,0.001261502,0.002033334,0.0003235167],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05711027,"about_ca_system_score_gemma":0.2280797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9167509,"about_ca_topic_score_gemma":0.9595435,"domain_scores_codex":[0.9974492,0.0002991119,0.0002609052,0.0002138961,0.001451689,0.0003251526],"domain_scores_gemma":[0.9895948,0.003004091,0.0008398124,0.0001333255,0.005662623,0.0007653718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001478944,0.00007142848,0.00249243,0.1221572,0.0004140748,0.000302136,0.001585817,0.001355249,0.0005729631,0.03383566,0.1216403,0.7154248],"study_design_scores_gemma":[0.00001697225,0.00003394698,0.007607539,0.0701199,0.0006063145,0.0001243234,0.001272843,0.00009800241,0.0002808053,0.001221759,0.9185656,0.00005208309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003804492,0.9942977,0.00004955604,0.001992067,0.0001669581,0.00001215511,0.0002489709,0.000007055733,0.002845091],"genre_scores_gemma":[0.00440809,0.9942164,0.0001312845,0.0006491666,0.00003614658,0.000008203364,0.0001143253,0.000003445144,0.0004329101],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9428898,"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."}}