{"id":"W4296677622","doi":"10.35424/anam.v7i14.2611","title":"Esencial... ¿para quién exactamente? Trabajar en la agricultura de temporada en Canadá y en las maquiladoras de México","year":2022,"lang":"es","type":"article","venue":"Antropología Americana","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002510447,0.0003403657,0.000284333,0.0007972567,0.01088807,0.006288451,0.001181631,0.001655923,0.02188988],"category_scores_gemma":[0.004346468,0.0001923463,0.0003066004,0.001835463,0.003802438,0.003651454,0.002542843,0.002186053,0.002623847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01633902,"about_ca_system_score_gemma":0.02564464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4764974,"about_ca_topic_score_gemma":0.6272565,"domain_scores_codex":[0.9975458,0.0006349793,0.00006184033,0.0004580398,0.0006116515,0.0006876923],"domain_scores_gemma":[0.9970381,0.0003940538,0.0003657215,0.0002052692,0.001365121,0.0006317805],"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":[0.0002064228,0.0001443196,0.0668169,0.001315022,0.00007197264,0.0009903107,0.1262018,0.00056717,0.003006522,0.1473712,0.3790881,0.2742203],"study_design_scores_gemma":[0.00001189016,0.00004645228,0.03967232,0.0008776851,0.00003325312,0.000156352,0.0795426,0.0001161033,0.0003321215,0.005235804,0.8739467,0.00002876319],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1703824,0.02311729,0.005926639,0.3449419,0.003503931,0.0002288282,0.004004485,0.0002858177,0.4476086],"genre_scores_gemma":[0.7345441,0.01802859,0.00638627,0.02586192,0.0006720486,0.0002387618,0.001804469,0.0001734968,0.2122903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5235026,"threshold_uncertainty_score":0.9474478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675516795101948,"score_gpt":0.2633295593744644,"score_spread":0.2465743914234449,"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."}}