{"id":"W4210677328","doi":"10.1108/oxan-db253539","title":"COVID-19 will boost Canada’s Trudeau government","year":2020,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Prime minister; Coronavirus disease 2019 (COVID-19); Opposition (politics); Government (linguistics); Political science; 2019-20 coronavirus outbreak; Public administration; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political economy; Economic history; Law; History; Sociology; Politics; Virology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005411383,0.0005683693,0.0009386827,0.00004823496,0.0007751987,0.000026723,0.000467256,0.0007496951,0.05045737],"category_scores_gemma":[0.001801073,0.0005227873,0.0001198673,0.0001692835,0.00005062567,0.000123024,0.0002204401,0.001398202,0.0005166706],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349096,"about_ca_system_score_gemma":0.01106901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998664,"about_ca_topic_score_gemma":0.964838,"domain_scores_codex":[0.9948882,0.001102165,0.0009563186,0.0008307435,0.001235379,0.0009871626],"domain_scores_gemma":[0.9957864,0.0006901983,0.001079735,0.0006842846,0.00004157371,0.001717812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003878316,0.0000146763,0.00005227574,0.001167509,0.0001050781,0.0001161189,0.004111722,1.908604e-7,0.00001438961,0.0008693229,0.9928253,0.0006845998],"study_design_scores_gemma":[0.0006136021,0.00004548381,0.00002336692,0.0005225339,0.00001724653,0.000006331253,0.0004196629,0.000006547005,0.000001653809,0.00001660541,0.9977813,0.0005456111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[8.137726e-7,0.003942583,0.00008211189,0.673165,0.001528013,0.001172466,0.0005528777,0.0003199325,0.3192362],"genre_scores_gemma":[0.00003638342,0.0008457175,0.0001994869,0.5310636,0.002606012,0.0001975424,0.0001007843,0.0004276552,0.4645228],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1452865,"threshold_uncertainty_score":0.9997224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08109422049100554,"score_gpt":0.4259851384243326,"score_spread":0.344890917933327,"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."}}