{"id":"W1849189116","doi":"10.33679/rmi.v3i10.1203","title":"Campos agrícolas, campos de poder: el Estado mexicano, los granjeros canadienses y los trabajadores temporales mexicanos","year":2017,"lang":"es","type":"article","venue":"Migraciones internacionales","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001180077,0.0009867393,0.001094618,0.0004295433,0.004191332,0.001378918,0.002854915,0.0007011261,0.001119011],"category_scores_gemma":[0.001053391,0.000974667,0.0008318909,0.0002098456,0.002441036,0.001466618,0.0003865179,0.0007308336,0.0003369954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198052,"about_ca_system_score_gemma":0.001329839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1232272,"about_ca_topic_score_gemma":0.6703539,"domain_scores_codex":[0.9941415,0.0006097351,0.001309216,0.001364681,0.0009415068,0.001633376],"domain_scores_gemma":[0.9948943,0.0005629189,0.001455821,0.001534675,0.0005338347,0.001018498],"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":[0.000483873,0.001755318,0.7300834,0.0007426087,0.001125506,0.0003190634,0.08023699,0.00008380973,0.001654581,0.08024244,0.09404461,0.009227761],"study_design_scores_gemma":[0.002419919,0.0005993993,0.2906577,0.002037068,0.0006354704,0.0001175831,0.02295583,0.0007209071,0.005247701,0.01100915,0.6602743,0.00332493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691353,0.003314729,0.0002172703,0.01508593,0.001916487,0.001194495,0.001599539,0.0002314125,0.007304871],"genre_scores_gemma":[0.9794298,0.005806498,0.000277261,0.0007668907,0.001790758,0.0001930356,0.0001521857,0.0001149196,0.01146863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5662298,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499367857129921,"score_gpt":0.3216354901362684,"score_spread":0.2966418115649692,"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."}}