{"id":"W3210291968","doi":"10.5206/uwojls.v12i1.13636","title":"COVID-19 Pandemic and Structural Barriers for Migrant Agricultural Workers in Ontario","year":2021,"lang":"en","type":"article","venue":"Western Journal of Legal Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pandemic; Vulnerability (computing); Legislature; Immigration; Harm; Agriculture; Migrant workers; Government (linguistics); Economic growth; Political science; Development economics; Business; Coronavirus disease 2019 (COVID-19); Geography; Economics; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007951846,0.0001054316,0.0002012709,0.0005246983,0.005295215,0.002219213,0.0006635133,0.000937474,0.00566088],"category_scores_gemma":[0.00382712,0.0001245624,0.0001828571,0.001008043,0.002417163,0.0007554733,0.001438152,0.001187701,0.0001331257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07375941,"about_ca_system_score_gemma":0.07876118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910234,"about_ca_topic_score_gemma":0.9951416,"domain_scores_codex":[0.9990975,0.00008206272,0.00001644021,0.00003885852,0.0001755314,0.0005896777],"domain_scores_gemma":[0.9981773,0.0003943666,0.0003492176,0.000044534,0.0004185919,0.0006159155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003124683,0.0002143698,0.5856488,0.0003201923,0.00007189936,0.003442421,0.05450141,0.005371515,0.001090888,0.2458915,0.05656549,0.04656901],"study_design_scores_gemma":[0.00007794024,0.00008297313,0.770218,0.0005014698,0.00005726492,0.0002650606,0.09496714,0.005527352,0.0002948438,0.02096677,0.1069422,0.00009903062],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078171,0.001381596,0.0003158753,0.03638265,0.00003909293,0.00005065789,0.0008700945,0.00001079015,0.05313227],"genre_scores_gemma":[0.9927787,0.0008052192,0.0001044816,0.0006561731,0.00001367296,0.00001185577,0.0001315346,0.000002929493,0.005495409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07375941,"threshold_uncertainty_score":0.5351645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09260932131223008,"score_gpt":0.3099912550672101,"score_spread":0.21738193375498,"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."}}