{"id":"W2256039821","doi":"10.22059/ier.2006.32637","title":"Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data","year":2006,"lang":"en","type":"article","venue":"Iranian economic review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Immigration; Destinations; Government (linguistics); Geography; Distribution (mathematics); Demographic statistics; Portrait; Public policy; Regional science; Population; Political science; Population statistics; Economic growth; Demographic economics; Sociology; Demography; Tourism; Economics; Law","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":[0.0001439451,0.0002022123,0.0001499247,0.003843285,0.001362784,0.0009864005,0.0004538251,0.0001200332,0.002637608],"category_scores_gemma":[0.0006869334,0.00009962319,0.0002299952,0.01185898,0.0003642762,0.0002462066,0.0003908447,0.0002278175,0.0002123485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01239103,"about_ca_system_score_gemma":0.01999551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952902,"about_ca_topic_score_gemma":0.9971258,"domain_scores_codex":[0.999845,0.00000910888,0.000007533939,0.00001991852,0.00006533055,0.00005304447],"domain_scores_gemma":[0.9994447,0.00002925117,0.00004915754,0.0000119004,0.0003983825,0.00006651002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000093694,0.00002980434,0.8298075,0.0003501929,0.00008629289,0.0005690871,0.009563881,0.003080062,0.00113848,0.006023526,0.03842634,0.1108311],"study_design_scores_gemma":[0.000003190617,0.000007503785,0.9610765,0.00007019458,0.00002051913,0.0001739786,0.007771056,0.00145726,0.0001368343,0.0001131179,0.02915083,0.00001919595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909856,0.004531079,0.0009058475,0.001310042,0.00004703782,0.0001144626,0.04759015,0.0001544832,0.0354909],"genre_scores_gemma":[0.9784201,0.004759662,0.001872652,0.00006760926,0.0000120309,0.00004396671,0.009009669,0.00001827208,0.005796032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239103,"threshold_uncertainty_score":0.08990365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05249750764012057,"score_gpt":0.3104446211924461,"score_spread":0.2579471135523255,"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."}}