{"id":"W3035409426","doi":"","title":"Dr. Kevin Patterson: Working the Front Lines During COVID-19 - Below the Radar Conversations","year":2020,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Front (military); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Radar; Front line; 2019-20 coronavirus outbreak; Computer science; Virology; History; Meteorology; Telecommunications; Geography; Medicine; Archaeology; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002571884,0.0006429955,0.0004527209,0.000659526,0.02022156,0.005316364,0.001212469,0.005417051,0.04535867],"category_scores_gemma":[0.01424615,0.0006427149,0.0003554344,0.0006544106,0.003005579,0.003792935,0.004169337,0.01939998,0.01614018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005984215,"about_ca_system_score_gemma":0.0101748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06921759,"about_ca_topic_score_gemma":0.1541357,"domain_scores_codex":[0.9971843,0.000867668,0.0001051546,0.0003302653,0.0006747248,0.0008377995],"domain_scores_gemma":[0.9851775,0.001096593,0.0005900683,0.0002009518,0.003076496,0.00985841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001111081,0.00002028379,0.0006329798,0.00003492254,0.000002305738,0.0004243615,0.005053683,0.00001332956,0.0001994182,0.0004255711,0.9852561,0.007925986],"study_design_scores_gemma":[0.000006288645,0.00004177449,0.00174827,0.0002765174,0.00000500951,0.001427774,0.03610583,0.00004272589,0.0002729479,0.0004942142,0.9595466,0.0000319343],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00669039,0.005657661,0.001074677,0.901916,0.03238538,0.00009227654,0.0002310369,0.0003395239,0.0516131],"genre_scores_gemma":[0.08896486,0.008496748,0.002882542,0.5886722,0.009970173,0.0002064132,0.000264365,0.0006443424,0.2998984],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06921759,"threshold_uncertainty_score":0.15174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06141768433882872,"score_gpt":0.3028798272001583,"score_spread":0.2414621428613296,"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."}}