{"id":"W7015717689","doi":"","title":"This advance online version may differ slightly from the final published version.doi:10.3138/cpp.2020-049 e2020049 © Canadian Public Policy / Analyse de politiques, 2020 Initial Impacts of the COVID-19 Pandemic on the Canadian Labour Market","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Public policy; Government (linguistics); Coronavirus disease 2019 (COVID-19); Agency (philosophy); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003355141,0.0003014383,0.0002542898,0.001647765,0.001193447,0.0004157709,0.00295985,0.0001489698,0.0006024721],"category_scores_gemma":[0.0009266632,0.0002143514,0.0002271375,0.01120845,0.0001873888,0.0007204521,0.0005350819,0.0006428221,0.00005292181],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120168,"about_ca_system_score_gemma":0.01820904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9605669,"about_ca_topic_score_gemma":0.9526907,"domain_scores_codex":[0.9973284,0.0006110141,0.0002562208,0.0006176,0.000531141,0.0006556166],"domain_scores_gemma":[0.9965646,0.0008410815,0.0002504478,0.0009369343,0.0004016673,0.001005326],"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":[0.0004780024,0.0004798845,0.03764784,0.00008286123,0.000676116,0.0003361748,0.01864812,0.0008905077,0.00007490515,0.36245,0.5684516,0.009784039],"study_design_scores_gemma":[0.000639755,0.00006383885,0.01284052,0.00001924212,0.00004230201,0.000007943613,0.0002259309,0.007163507,0.00002701953,0.0002939044,0.9784247,0.0002512806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1567478,0.00001534859,0.00252916,0.7295239,0.0002988098,0.001593452,0.006552347,0.0002375675,0.1025017],"genre_scores_gemma":[0.9708776,0.001231556,0.0004936843,0.02665383,0.0003637292,0.000005050205,0.0002244037,0.00002121563,0.0001288648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8141299,"threshold_uncertainty_score":0.9873568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856299480841072,"score_gpt":0.2721146030360134,"score_spread":0.2335516082276027,"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."}}