{"id":"W2949702147","doi":"","title":"Through Their Eyes: Experiences of Rural Immigrants","year":2019,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Immigration; Economic shortage; Political science; Rural population; Sociology; Rural area; Ethnology; Economic growth; Humanities; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165623,0.0008304834,0.0008472609,0.0007212331,0.02126625,0.00516169,0.001267218,0.003139962,0.006673779],"category_scores_gemma":[0.00457793,0.0006226141,0.0006811727,0.0009458926,0.01139052,0.00319059,0.009738877,0.004099511,0.0006941695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862791,"about_ca_system_score_gemma":0.004551369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08033989,"about_ca_topic_score_gemma":0.1542195,"domain_scores_codex":[0.9973893,0.001444294,0.00006416724,0.000136157,0.0002045608,0.0007616006],"domain_scores_gemma":[0.9983516,0.0005655215,0.0002303812,0.00005774852,0.0002025279,0.0005922348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002101183,0.00002014532,0.001480557,0.00004839276,0.000003562646,0.00114975,0.994168,0.000008650302,0.0002443868,0.0004385439,0.0008742376,0.001542775],"study_design_scores_gemma":[0.000002104105,0.00002974992,0.0008631151,0.00004872428,0.000003314812,0.0002513066,0.9921392,0.00000705702,0.00002363185,0.00006871664,0.006555713,0.000007344791],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785848,0.001763184,0.000190848,0.003605212,0.0002044303,0.00005047883,0.00004361451,0.00002395958,0.01553353],"genre_scores_gemma":[0.9808018,0.001908764,0.000178679,0.002412425,0.00006460232,0.00007547009,0.00003309525,0.0000337583,0.01449144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08033989,"threshold_uncertainty_score":0.1597445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811199325453661,"score_gpt":0.2298800820414346,"score_spread":0.211768088786898,"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."}}