{"id":"W185027330","doi":"10.32920/ryerson.14638392","title":"From Canada 2.0 to a Digital Nation","year":2021,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Federation for the Humanities and Social Sciences","funders":"Infrastructure Canada; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Federation for the Humanities and Social Sciences","keywords":"Opposition (politics); Political science; Public administration; Media studies; Law; Management; Sociology; Politics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001474738,0.0004415098,0.000245362,0.001345875,0.01410132,0.0118844,0.0009263888,0.003460721,0.04734055],"category_scores_gemma":[0.002829167,0.0002918794,0.0004568885,0.002252202,0.005428819,0.004149939,0.004696522,0.003752776,0.005424656],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08691064,"about_ca_system_score_gemma":0.1993783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866629,"about_ca_topic_score_gemma":0.9916522,"domain_scores_codex":[0.9968783,0.000199425,0.0000441923,0.0002265685,0.00121772,0.001433843],"domain_scores_gemma":[0.9974802,0.00009876988,0.00003666725,0.00008968904,0.001118397,0.001176386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002363677,0.00001751748,0.001192153,0.0000547411,0.000005215455,0.0001529862,0.001440608,0.0001937088,0.0002487024,0.3298848,0.6367399,0.03004597],"study_design_scores_gemma":[0.000003085763,0.000004409448,0.001214895,0.00007557857,0.000004193816,0.00002528201,0.001993354,0.00007877424,0.00008828937,0.008057318,0.9884378,0.00001704027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006484924,0.006094698,0.0007682692,0.1496983,0.002804604,0.00002396318,0.0008641846,0.0002026465,0.8330585],"genre_scores_gemma":[0.1656632,0.00897931,0.002965923,0.06937502,0.0004630278,0.00005559441,0.0009830293,0.0003897382,0.7511252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9130893,"threshold_uncertainty_score":0.6305838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006524165991087016,"score_gpt":0.1880198718635754,"score_spread":0.1814957058724883,"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."}}