{"id":"W6990146344","doi":"","title":"COVID-19, Digitization, and the \"New Normal\" for Municipal Government: A Study of Three Ontario Cities","year":2023,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Scope (computer science); Pandemic; Corporate governance; Voting; Public participation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003748398,0.0001549567,0.0002985049,0.0001297737,0.0003647456,0.00002818709,0.0004587727,0.0001184009,0.0001066425],"category_scores_gemma":[0.0002000103,0.0001535531,0.00009780259,0.0003465511,0.0002851344,0.0003258974,0.0003369807,0.0001906036,0.000004572255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002150693,"about_ca_system_score_gemma":0.00007787508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004864387,"about_ca_topic_score_gemma":0.1259168,"domain_scores_codex":[0.9990341,0.00002821547,0.0001732001,0.0001876179,0.0003320592,0.0002447878],"domain_scores_gemma":[0.9990892,0.0003026735,0.00009223793,0.00036051,0.0000448274,0.0001105212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001346614,0.000151053,0.8660453,0.0005673862,0.001066658,0.00003822837,0.1021616,0.01070597,0.0004048501,0.009771301,0.005834015,0.001907061],"study_design_scores_gemma":[0.02191891,0.0008672579,0.7368041,0.0001181207,0.0005424503,0.0000179475,0.1773788,0.003077286,0.0009784856,0.01494022,0.04249844,0.0008578977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972687,0.000109769,0.0003585295,0.000498268,0.0001009054,0.0005585438,0.00007854492,0.0002568764,0.0007698475],"genre_scores_gemma":[0.9977298,0.00005631505,0.0001285735,0.00003088175,0.0000185812,0.000003103075,0.00001465021,0.00001867125,0.001999423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292411,"threshold_uncertainty_score":0.8900329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788107973733224,"score_gpt":0.2104075091246023,"score_spread":0.18252642938727,"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."}}