{"id":"W4408470808","doi":"10.21083/ruralreview.v8i1.7936","title":"Agri-Food Industry Discourses on Temporary Foreign Workers","year":2024,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Food industry; Commerce; Agricultural economics; Food science; Economics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006072745,0.0002416688,0.0003144648,0.0001479433,0.0005906885,0.0002462228,0.0001896378,0.0001795476,0.0003471799],"category_scores_gemma":[0.00007171446,0.0001887966,0.00008670097,0.000329146,0.0001096963,0.0004562948,0.00003681981,0.0004831619,0.0001173143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071495,"about_ca_system_score_gemma":0.001720839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04558048,"about_ca_topic_score_gemma":0.06132197,"domain_scores_codex":[0.9985805,0.00008175957,0.0003959423,0.0002280398,0.000268825,0.0004449036],"domain_scores_gemma":[0.999431,0.0001077295,0.00008937992,0.0001136537,0.0000237714,0.0002344879],"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":[0.00002995758,0.00004824862,0.5806594,0.001049381,0.0002617582,0.0000324065,0.08289352,0.000009009083,0.000003579311,0.05142754,0.1939579,0.08962738],"study_design_scores_gemma":[0.000135532,0.00007338298,0.1055127,0.00976692,0.00004437645,0.000008586868,0.01166431,0.000001765173,0.00001595468,0.001753083,0.8705158,0.0005075369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916743,0.03325151,0.000004888393,0.006681074,0.0003393734,0.0004790316,0.000006352899,0.0001346756,0.06742883],"genre_scores_gemma":[0.9639821,0.005571454,0.0001515795,0.00219603,0.0008460188,0.0000578997,0.0001113822,0.0000197949,0.02706374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676558,"threshold_uncertainty_score":0.9607751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653810652783325,"score_gpt":0.3386552095811592,"score_spread":0.2921171030533259,"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."}}