{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001994953,0.0006811331,0.001349935,0.0006407592,0.000662017,0.0002155417,0.001327869,0.000345289,0.002547743],"category_scores_gemma":[0.001207087,0.0007926833,0.0004101744,0.001296639,0.0005729892,0.0002696909,0.0005549163,0.001377133,0.0002706311],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006284397,"about_ca_system_score_gemma":0.001616356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2760029,"about_ca_topic_score_gemma":0.003836671,"domain_scores_codex":[0.9946302,0.001019683,0.001173014,0.001134758,0.0002475471,0.001794841],"domain_scores_gemma":[0.9959421,0.001513413,0.001057897,0.0008052642,0.00003987893,0.0006415178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002751814,0.0008789691,0.8287324,0.0001888634,0.001155529,0.001229934,0.01430994,0.001452175,0.003082184,0.03005871,0.1088147,0.009821504],"study_design_scores_gemma":[0.001398929,0.0007782491,0.2973704,0.00003219461,0.0001370589,0.0003279001,0.01574912,0.001512827,0.0002253096,0.001186733,0.6799858,0.001295543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636804,0.002077874,0.0007028788,0.01598,0.0008759227,0.0006970961,0.002249649,0.0001390929,0.01359703],"genre_scores_gemma":[0.9861647,0.00409461,0.0005840663,0.005592541,0.0006887455,0.0001234775,0.0001378121,0.0001144724,0.002499546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711711,"threshold_uncertainty_score":0.9994524,"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."}}