{"id":"W2913174466","doi":"10.33182/bc.v9i1.674","title":"Trump, Migration, and Agriculture","year":2019,"lang":"en","type":"article","venue":"BORDER CROSSING","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Refugee; Quarter (Canadian coin); Political science; Government (linguistics); Immigration policy; Economic growth; Geography; Law; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439726,0.0003084098,0.0002310581,0.001236919,0.01089215,0.00749879,0.0007612275,0.003141931,0.02598214],"category_scores_gemma":[0.003800201,0.0001693754,0.0001968732,0.00224192,0.007073105,0.004591259,0.004548043,0.0057578,0.00235554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00511024,"about_ca_system_score_gemma":0.005877454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183847,"about_ca_topic_score_gemma":0.04499285,"domain_scores_codex":[0.9984912,0.0004694656,0.00003806862,0.0001567315,0.0003308754,0.0005135805],"domain_scores_gemma":[0.9983858,0.0004129758,0.0002366955,0.00006341454,0.0003219001,0.000579219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002413832,0.00006388815,0.003229094,0.00009548976,0.000006015131,0.0001943261,0.005984664,0.00004757895,0.00005167252,0.2956908,0.6336101,0.06100237],"study_design_scores_gemma":[0.000005800458,0.00002172298,0.002910229,0.0002901185,0.00000276227,0.00008048744,0.00776343,0.0000294598,0.00003127443,0.02526916,0.9635871,0.000008422556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02219302,0.0219986,0.0005017447,0.5146048,0.007940273,0.00003511248,0.0002000992,0.00005958837,0.4324668],"genre_scores_gemma":[0.4866817,0.04074689,0.001333205,0.1941924,0.008699896,0.0001941539,0.0003590963,0.0001476287,0.267645],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02598214,"threshold_uncertainty_score":0.08691895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008547865085964296,"score_gpt":0.2208839586946425,"score_spread":0.2123360936086782,"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."}}