{"id":"W2955919681","doi":"10.22230/cjc.2019v44n2a3601","title":"Canadian Digital and Data Strategy","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004419522,0.00003449508,0.00006213943,0.0001566628,0.0002442132,0.0002229015,0.0007431225,0.00004085484,0.0001535989],"category_scores_gemma":[0.0001006933,0.00003492385,0.00001089244,0.0001074252,0.00009555257,0.0006736692,0.000017034,0.0001049106,0.00003745512],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183248,"about_ca_system_score_gemma":0.00613518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7297673,"about_ca_topic_score_gemma":0.977513,"domain_scores_codex":[0.9995368,0.00005951638,0.0001215316,0.00004241871,0.00009002696,0.000149678],"domain_scores_gemma":[0.9989108,0.00005147114,0.00007683728,0.0002870115,0.000103856,0.000569968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009389048,0.000008296528,0.4126296,0.000007968938,0.00007353869,0.00001646038,0.01844233,0.00001653836,0.000008722137,0.2893401,0.1136161,0.1658309],"study_design_scores_gemma":[0.00006347764,0.00001073714,0.03669152,0.00002332899,0.000002933616,0.000007492836,0.001389114,0.00001269723,4.9186e-7,0.003682184,0.9580615,0.00005451259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6234977,0.001813121,0.000003614569,0.03285261,0.0001910456,0.0001229299,0.00005464372,0.000003435618,0.3414609],"genre_scores_gemma":[0.9972622,0.000364985,0.00007012332,0.0002133896,0.00005350364,1.445692e-7,0.00002820928,0.000003273853,0.002004104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444454,"threshold_uncertainty_score":0.9994991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06559406325823611,"score_gpt":0.3307943418509731,"score_spread":0.265200278592737,"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."}}