{"id":"W4362559532","doi":"10.1111/capa.12517","title":"Preparedness and crisis‐driven policy change: COVID‐19, digital readiness, and information technology professionals in Canadian local government","year":2023,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario; Government of Canada; Western University; York University","funders":"","keywords":"Preparedness; Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Public relations; Political science; Public administration; Transition (genetics); Business; Medicine; Law","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":[0.00440392,0.0002180582,0.0002958793,0.003043733,0.01716033,0.006575746,0.001287998,0.001472337,0.006523998],"category_scores_gemma":[0.0163498,0.0003604057,0.000208955,0.003657828,0.01138584,0.002490619,0.004959792,0.003016017,0.0002243616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09941301,"about_ca_system_score_gemma":0.1925036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840157,"about_ca_topic_score_gemma":0.9909088,"domain_scores_codex":[0.9952208,0.0009311678,0.0001384708,0.0002815088,0.0009546553,0.00247337],"domain_scores_gemma":[0.9849748,0.003323323,0.001590296,0.0002743579,0.003617173,0.006219968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001807862,0.0003969137,0.345475,0.0002128223,0.00002914519,0.0007083975,0.581901,0.0006494633,0.0006035088,0.02244475,0.011475,0.03592324],"study_design_scores_gemma":[0.00001061959,0.0000375593,0.1586076,0.0001677658,0.000009988907,0.00005363809,0.8194714,0.0002998976,0.0001226723,0.001102983,0.02007358,0.00004237541],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573352,0.0004613902,0.0001659312,0.01350223,0.00003182202,0.00007681151,0.0001385742,0.00001265734,0.02827529],"genre_scores_gemma":[0.997943,0.0002260808,0.00004810774,0.0003463213,0.000004198263,0.00001196824,0.00003402603,0.000002971818,0.001383491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09941301,"threshold_uncertainty_score":0.7212953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534800570554955,"score_gpt":0.3775179240854754,"score_spread":0.3321699183799259,"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."}}