{"id":"W3192394264","doi":"10.51644/eejd3163","title":"COVID-19 Impacts on University Research, Past, Present, and Future: A Case Study at Wilfrid Laurier University","year":2021,"lang":"en","type":"article","venue":"Consensus","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Impact","funders":"Wilfrid Laurier University","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Political science; Sociology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic growth; Media studies; Public relations; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01924049,0.0004493385,0.0006549222,0.002155044,0.07721595,0.01459247,0.003179443,0.006993672,0.006017926],"category_scores_gemma":[0.02099174,0.0005959262,0.0006469674,0.004809401,0.03001101,0.006575836,0.01330103,0.009362562,0.0007605488],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1310813,"about_ca_system_score_gemma":0.146923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7356962,"about_ca_topic_score_gemma":0.8975154,"domain_scores_codex":[0.9790769,0.009209292,0.0005170676,0.001226019,0.004220402,0.005750332],"domain_scores_gemma":[0.9748464,0.007871996,0.001440634,0.0007402972,0.00541477,0.009685882],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003563018,0.00007432614,0.008292681,0.0001477974,0.000008607791,0.005469793,0.8797407,0.0002416924,0.0005829724,0.05295471,0.03493301,0.01751803],"study_design_scores_gemma":[0.000002721951,0.00002160622,0.002148837,0.0001663387,0.000005528383,0.0003266007,0.9009138,0.00007207384,0.0001631937,0.001036167,0.09511106,0.00003222825],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5863938,0.006653893,0.0018686,0.2760363,0.001229875,0.0002075252,0.0001386029,0.00006912279,0.1274022],"genre_scores_gemma":[0.949591,0.005148044,0.001497545,0.01459329,0.0001934344,0.00007856604,0.00005229495,0.000061125,0.02878474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9807595,"threshold_uncertainty_score":0.9510658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413943720244205,"score_gpt":0.4139057749875359,"score_spread":0.2725114029631154,"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."}}