{"id":"W4402549001","doi":"10.11575/sppp.v14i.71625","title":"Evidence-based and Community-engaged Pandemic Responses for Calgary","year":2021,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Medicine","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":[0.01654279,0.0008045124,0.0006294025,0.002693212,0.005612705,0.005744584,0.004525488,0.003166988,0.007103064],"category_scores_gemma":[0.0264557,0.000586752,0.0007860426,0.00253542,0.002741702,0.002557065,0.008661308,0.003719312,0.0006253848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02820851,"about_ca_system_score_gemma":0.1046453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1842491,"about_ca_topic_score_gemma":0.4581575,"domain_scores_codex":[0.9913303,0.005226865,0.0006376461,0.0003463185,0.001198365,0.001260405],"domain_scores_gemma":[0.9871581,0.006392079,0.001154787,0.0005708578,0.002269026,0.002455155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007493634,0.001404782,0.01218724,0.03521474,0.0001813588,0.004436135,0.04010424,0.002712122,0.002976085,0.0118518,0.03879939,0.8493828],"study_design_scores_gemma":[0.000974094,0.003308161,0.1409143,0.1286605,0.0004881307,0.001060545,0.2191088,0.001733337,0.003654082,0.0162096,0.4835593,0.000329048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3281586,0.1619792,0.01599077,0.285886,0.003814952,0.02394612,0.004318471,0.0006408796,0.1752651],"genre_scores_gemma":[0.7075061,0.1358337,0.1014734,0.02447997,0.0005184996,0.01220607,0.002493828,0.0001211723,0.01536721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8157508,"threshold_uncertainty_score":0.3663534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3099102483167843,"score_gpt":0.4757469579592156,"score_spread":0.1658367096424312,"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."}}