{"id":"W2335781254","doi":"","title":"Immigration to rural Canada; responding to labour market needs and promoting welcoming communities","year":2010,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Economic growth; Labour economics; Business; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518953,0.00008880712,0.00009306851,0.00003569357,0.0003772864,0.0001194641,0.0001422097,0.00003601997,0.0003882357],"category_scores_gemma":[0.0001041421,0.0000345322,0.00001285736,0.0005032278,0.00001482904,0.0001192786,0.0001297669,0.0001087708,0.000001939762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935221,"about_ca_system_score_gemma":0.00002583012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3571438,"about_ca_topic_score_gemma":0.9217353,"domain_scores_codex":[0.9993687,0.00005529308,0.000138106,0.00008269977,0.0001263973,0.0002288212],"domain_scores_gemma":[0.9995616,0.0001630221,0.00002068357,0.00004007086,0.00007586786,0.000138753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008212426,0.00001851836,0.5136824,0.00002023685,0.000007120058,0.000002643869,0.005253911,6.339412e-7,0.3552258,0.003806672,0.01012156,0.1117784],"study_design_scores_gemma":[0.0000360153,0.00005668455,0.9037524,0.00001278276,0.000001232074,0.000002848752,0.03584578,0.00005280857,0.003052603,0.0001787812,0.05684636,0.0001617224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774162,0.000002959858,0.000001205435,0.02038913,0.0001047662,0.0002205874,0.000005151661,0.00003333992,0.001826622],"genre_scores_gemma":[0.9915697,0.000001109632,0.0002841657,0.0007827128,0.00006184153,0.00001261973,0.000008266615,5.174442e-7,0.007279044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5645915,"threshold_uncertainty_score":0.647137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006848002337612612,"score_gpt":0.2007007205405416,"score_spread":0.193852718202929,"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."}}