{"id":"W6887753587","doi":"10.17613/ms9y-qx83","title":"Health and Politics: Analyzing the Government of Alberta's COVID-19 Communications","year":2021,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Government (linguistics); Discourse analysis; E-Government; Public health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01097394,0.00027695,0.000314132,0.003949258,0.02280674,0.0128544,0.001602371,0.003083521,0.004290489],"category_scores_gemma":[0.02144564,0.0004176427,0.0001844364,0.010024,0.01067864,0.001770341,0.004726334,0.003943758,0.0003169611],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1652338,"about_ca_system_score_gemma":0.1450333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797863,"about_ca_topic_score_gemma":0.9887235,"domain_scores_codex":[0.9917405,0.001979269,0.0001653734,0.0004638241,0.003326915,0.002324121],"domain_scores_gemma":[0.9806311,0.01084773,0.0009772616,0.0004780552,0.004934883,0.002130959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001983926,0.00007361685,0.05042322,0.0003091054,0.00003939768,0.001818973,0.6895789,0.001146836,0.001967843,0.112642,0.09422193,0.04757989],"study_design_scores_gemma":[0.00001297665,0.00002332693,0.09101838,0.0004131031,0.00002806203,0.00005766043,0.5061674,0.0006143332,0.0007096803,0.003930819,0.3969465,0.0000777712],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6138395,0.005213415,0.001234489,0.1156189,0.0005289369,0.0001688401,0.002142234,0.00007257954,0.2611811],"genre_scores_gemma":[0.9517701,0.001741862,0.0007455318,0.007266171,0.0001308147,0.00007762091,0.0006751432,0.00005770332,0.03753515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652338,"threshold_uncertainty_score":0.9682105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706712845256432,"score_gpt":0.2738714556202326,"score_spread":0.2368043271676683,"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."}}