{"id":"W4391934984","doi":"10.52783/jier.v4i1.589","title":"Impact of Covid-19 on Employment Equity: A Canadian Perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Informatics Education and Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fleming College","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Equity (law); Perspective (graphical); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Demographic economics; Political science; Economics; Medicine; Computer science; Virology; Internal medicine; Infectious disease (medical specialty); Artificial intelligence; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002783021,0.00006750652,0.0001587538,0.001081007,0.0004850272,0.00003840837,0.0001207334,0.00006515495,0.0003180859],"category_scores_gemma":[0.001085423,0.00004218609,0.00007214276,0.0003583062,0.00008976748,0.0001708985,0.00006958296,0.0007059939,0.00003518756],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210007,"about_ca_system_score_gemma":0.01496317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03602389,"about_ca_topic_score_gemma":0.00445854,"domain_scores_codex":[0.9984575,0.0001865763,0.0005360736,0.00004125874,0.000492722,0.000285892],"domain_scores_gemma":[0.9975794,0.0005613984,0.0001490685,0.00009201031,0.001126526,0.0004915755],"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":[0.00009990678,0.0001642256,0.02525415,0.0008353922,0.0002918795,0.000004927789,0.3456177,0.00001532592,0.00001604289,0.05866905,0.5565811,0.01245037],"study_design_scores_gemma":[0.0009464886,0.002686145,0.07136443,0.002082841,0.00005110487,0.00004603294,0.6584743,0.0001464206,0.00001766203,0.03068914,0.2332951,0.0002002656],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187607,0.002831131,0.00007064643,0.04999216,0.001182303,0.0006733111,0.00003866032,0.0000126604,0.1264384],"genre_scores_gemma":[0.9958142,0.001051066,0.00006105718,0.0004672767,0.0002573206,0.00001228859,0.000002578183,0.000006768492,0.002327457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232859,"threshold_uncertainty_score":0.9906211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2280800074619726,"score_gpt":0.6236738627968145,"score_spread":0.3955938553348419,"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."}}