{"id":"W7010532651","doi":"","title":"Imagine Canadas Sector Monitor: Ongoing Effects of the COVID-19 Pandemic","year":2021,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Government (linguistics); Public sector; Revenue; Coronavirus disease 2019 (COVID-19); Stock (firearms)","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":[0.002598155,0.0005788901,0.0002518001,0.001637695,0.006300539,0.006468403,0.001204449,0.001887515,0.01602011],"category_scores_gemma":[0.006958077,0.0004019302,0.0003627185,0.002631948,0.001061838,0.001325238,0.002068815,0.00252846,0.003018196],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03626571,"about_ca_system_score_gemma":0.1190515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.941345,"about_ca_topic_score_gemma":0.9705723,"domain_scores_codex":[0.9947608,0.000254053,0.00007159466,0.0001356513,0.003510789,0.001267007],"domain_scores_gemma":[0.9905055,0.0005474554,0.000485653,0.0002902555,0.005129709,0.003041399],"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":[0.00009027726,0.00005426834,0.01559915,0.0001129101,0.00001065252,0.0003436246,0.0008370688,0.0004535399,0.0004845255,0.003195766,0.9503016,0.02851654],"study_design_scores_gemma":[0.00003513715,0.00006627325,0.05339137,0.0002517276,0.00001788444,0.0001961149,0.006306129,0.000689399,0.0007643511,0.0008175935,0.937403,0.00006120996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08467256,0.007207861,0.001482693,0.3006076,0.007726238,0.0008433599,0.08057566,0.002323051,0.5145609],"genre_scores_gemma":[0.3382336,0.01359363,0.007678108,0.09480789,0.001855665,0.0005094943,0.05425645,0.001177126,0.4878881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9637343,"threshold_uncertainty_score":0.2631274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816328544470798,"score_gpt":0.327428085904937,"score_spread":0.2892648004602291,"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."}}