{"id":"W4231634692","doi":"10.22215/etd/2011-09503","title":"Coming to terms with information and communications technologies : the role of the chief information officer of the government of Canada","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"Social Sciences and Humanities Research Council of Canada; Public Works and Government Services Canada; University of Toronto; University of Oxford; Accenture","keywords":"Officer; Government (linguistics); Political science; The Internet; Library science; Telecommunications; Engineering; Computer science; World Wide Web; Law; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005271459,0.0001096199,0.0001972472,0.0001231358,0.0001791616,0.00003173554,0.002300112,0.00009946031,0.00001608989],"category_scores_gemma":[0.0006399275,0.00004328319,0.00004050053,0.0006686212,0.0002204679,0.0002900115,0.0006958928,0.0001652923,0.000001158979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003721336,"about_ca_system_score_gemma":0.0001534487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01042405,"about_ca_topic_score_gemma":0.3505009,"domain_scores_codex":[0.9981722,0.00004238242,0.0006775337,0.00006905982,0.0009482391,0.00009064045],"domain_scores_gemma":[0.9968593,0.0002102521,0.001185951,0.001431861,0.0003039193,0.000008679574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009643244,0.0000436548,0.030323,0.0001062939,0.00008790747,1.614555e-8,0.01006813,0.00003758734,0.000157811,0.1753801,0.002244513,0.7814545],"study_design_scores_gemma":[0.0005504536,0.0001609312,0.3855319,0.0004039775,0.0001790612,0.000002245436,0.3773327,0.001411958,0.07377262,0.02088675,0.1394209,0.0003465315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6042981,0.0001681518,0.0003316156,0.002899115,0.0002682176,0.001711847,0.00007974269,0.00003981793,0.3902034],"genre_scores_gemma":[0.9984153,0.00002013053,0.0002041,0.00004552799,0.000001052907,0.00003112897,0.000007033958,0.000002683381,0.001273028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781108,"threshold_uncertainty_score":0.9961656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410665127554623,"score_gpt":0.2427659808415745,"score_spread":0.2286593295660283,"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."}}