{"id":"W7132993530","doi":"","title":"Canada in an Era of Intelligent Machines: How Institutions Condition Knowledge Generation and Innovation in a Learning Economy","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge economy; Workforce; Competence (human resources); Technological change; Outsourcing; Industrial Revolution; Value (mathematics); Empirical evidence; Futures studies; Digitization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006444328,0.0003610439,0.0007221133,0.002116288,0.0001362949,0.0002134043,0.0001514709,0.0003152721,0.000100232],"category_scores_gemma":[0.0001498393,0.000528594,0.0000460504,0.001372086,0.00004283692,0.001424742,0.00002661563,0.000577266,0.000006984978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051415,"about_ca_system_score_gemma":0.001897704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07672136,"about_ca_topic_score_gemma":0.8163212,"domain_scores_codex":[0.9972675,0.00005160094,0.001771197,0.0005838117,0.00003713953,0.0002887138],"domain_scores_gemma":[0.9985487,0.00007035251,0.0009733479,0.0001753412,0.0001725494,0.00005970167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002154935,0.0007476198,0.2617211,0.00304323,0.0001781884,0.000006168448,0.05997103,0.01910966,0.0003072004,0.5880721,0.0004320286,0.0661962],"study_design_scores_gemma":[0.007553726,0.0005643507,0.232357,0.003056047,0.00007579938,0.000006719699,0.03656282,0.6082987,0.005794451,0.009558248,0.09240949,0.003762669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933583,0.001074409,0.001170775,0.0004437923,0.000697489,0.0007302483,0.00008638893,0.00001029423,0.06220355],"genre_scores_gemma":[0.9870011,0.0008150319,0.0001603311,0.00005862286,0.0000498681,0.0001112515,0.006447883,0.00001999666,0.00533593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7395998,"threshold_uncertainty_score":0.9997166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05988681777081536,"score_gpt":0.2974155577016632,"score_spread":0.2375287399308478,"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."}}