{"id":"W279871603","doi":"10.1111/caje.12180","title":"The employment and wage impact of broadband deployment in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"ICT Impact and Policies","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Broadband; Software deployment; Subsidy; Wage; Business; Service (business); Labour economics; Telecommunications; Economics; Marketing; Engineering; Market economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004342768,0.0001665541,0.000202093,0.001371307,0.002291325,0.001593567,0.0005395233,0.0003099742,0.004259135],"category_scores_gemma":[0.002159795,0.00009723772,0.0002338995,0.00362388,0.0008082411,0.0002790529,0.001005953,0.0008839829,0.0003002394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03505494,"about_ca_system_score_gemma":0.04265934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955557,"about_ca_topic_score_gemma":0.9973692,"domain_scores_codex":[0.9990999,0.00004862744,0.00001642923,0.00005129572,0.0002965863,0.000487211],"domain_scores_gemma":[0.9979016,0.0001516939,0.0002522242,0.00002808602,0.001014274,0.0006522324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002773535,0.0002388347,0.8734443,0.0001598782,0.00009714125,0.0006721098,0.003599013,0.005422211,0.001122231,0.01094549,0.02122523,0.08279622],"study_design_scores_gemma":[0.00001293193,0.0000284556,0.9797014,0.00005970317,0.00002414933,0.00003646837,0.00480955,0.001112568,0.000214163,0.0004095412,0.01357692,0.00001420852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565887,0.001388973,0.000173518,0.005137513,0.00005307396,0.00002203978,0.004760742,0.00002230192,0.03185305],"genre_scores_gemma":[0.9935627,0.0007020198,0.00006633175,0.0001715665,0.00001243781,0.000004057391,0.0007722417,0.000004206581,0.004704503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03505494,"threshold_uncertainty_score":0.2543426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07673904410543922,"score_gpt":0.1870615796787696,"score_spread":0.1103225355733304,"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."}}