{"id":"W3216034627","doi":"10.1007/s42532-021-00097-0","title":"Promises and pitfalls of digital knowledge exchange resulting from the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Socio-Ecological Practice Research","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Canadian Forest Service; University of Ottawa; Natural Resources Canada; Carleton University","funders":"Natural Resources Canada; Canadian Forest Service; Social Sciences and Humanities Research Council of Canada; U.S. Forest Service","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computer science; Medicine; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005214899,0.0001129465,0.000222135,0.00004821093,0.0006096893,0.0004795081,0.0007597668,0.0001716937,0.00006379872],"category_scores_gemma":[0.06925648,0.00007442626,0.00007208964,0.0006634388,0.0004944766,0.0005710518,0.001587362,0.001192059,0.00006331837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374834,"about_ca_system_score_gemma":0.0008107887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009469407,"about_ca_topic_score_gemma":0.00002706576,"domain_scores_codex":[0.9959827,0.002159717,0.0002869556,0.0005263172,0.0005914155,0.0004529025],"domain_scores_gemma":[0.9670663,0.03146396,0.0001515511,0.0004593988,0.0006236231,0.000235201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004817763,0.006926104,0.5451344,0.0006881721,0.0008488678,0.001852165,0.0597158,0.0002132352,0.005591795,0.08450594,0.07729181,0.2167499],"study_design_scores_gemma":[0.00410684,0.001659961,0.05650546,0.0001417719,0.0001226347,0.0003450138,0.05500146,0.02535812,0.0001498358,0.1311598,0.724487,0.0009620965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6301345,0.009572322,0.007772839,0.3351413,0.0002202068,0.0006328773,0.00006287624,0.000294622,0.01616841],"genre_scores_gemma":[0.9925646,0.001195588,0.003820868,0.0007355288,0.0002282339,0.00001610378,0.000011536,0.000008490784,0.001419033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6471952,"threshold_uncertainty_score":0.9385836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2572529396723707,"score_gpt":0.4827521423763957,"score_spread":0.2254992027040251,"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."}}