{"id":"W6926100001","doi":"10.20381/ruor-28149","title":"GOVERNMENT-MEDIA RELATIONS IN CANADA’S FEDERAL CYBER SECURITY (JULY - DECEMBER 2018 & 2021)","year":2022,"lang":"en","type":"other","venue":"uO Research (University of Ottawa)","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Scope (computer science); Geopolitics; Cyber threats; Meaning (existential); Cyberwarfare","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266745,0.0001784206,0.0002183715,0.001881535,0.00948144,0.007008539,0.0007689723,0.0007171103,0.00468409],"category_scores_gemma":[0.004275551,0.0002307493,0.0001985292,0.004656107,0.003023399,0.001715945,0.001837808,0.001533754,0.0002606142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1192842,"about_ca_system_score_gemma":0.1099029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951416,"about_ca_topic_score_gemma":0.9978172,"domain_scores_codex":[0.9985978,0.0001476207,0.00002463405,0.00007537998,0.0005284924,0.000625986],"domain_scores_gemma":[0.9961814,0.0005075078,0.0005773733,0.000114462,0.001562775,0.001056503],"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":[0.0004924766,0.0003646057,0.3640168,0.0003057233,0.0001002958,0.001352508,0.3597404,0.000794082,0.001291168,0.07368581,0.08895884,0.1088973],"study_design_scores_gemma":[0.00001235706,0.00004359275,0.5485777,0.0001857058,0.00002679685,0.00009359105,0.3075204,0.0004048014,0.0005696994,0.001092465,0.1414164,0.00005645035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8865632,0.001519586,0.0001921326,0.02064714,0.0001390833,0.00007534043,0.003415441,0.00003984119,0.08740823],"genre_scores_gemma":[0.9833203,0.0007310321,0.0002028568,0.0008556757,0.00002400005,0.00002036757,0.000621778,0.00001300105,0.01421093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1192842,"threshold_uncertainty_score":0.8654712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08069273293918346,"score_gpt":0.3416465492589711,"score_spread":0.2609538163197876,"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."}}