{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008646735,0.00007283211,0.0002149479,0.00001463376,0.0001028701,0.00001853591,0.0002857646,0.00003119381,0.0001946943],"category_scores_gemma":[0.00006719625,0.00006264658,0.00003079307,0.0001239067,0.00004106195,0.0001398586,0.00002292412,0.00006129076,0.000002971811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007903866,"about_ca_system_score_gemma":0.0008920932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883719,"about_ca_topic_score_gemma":0.9993555,"domain_scores_codex":[0.9988902,0.000166626,0.0004928466,0.0001629278,0.0001110816,0.0001762944],"domain_scores_gemma":[0.9993501,0.00003172069,0.0002622784,0.0002953011,0.00002458517,0.00003603533],"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":[0.00003758619,0.0001685386,0.6411425,0.001441866,0.00006655123,0.00002990355,0.001531242,0.006185254,0.00002816108,0.1022624,0.07198901,0.175117],"study_design_scores_gemma":[0.0003724432,0.000006914454,0.4730256,0.0007497107,0.00008180013,0.000005914393,0.0004401577,0.03659024,7.559833e-7,0.0004905888,0.4879303,0.0003055922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699433,0.01230832,0.0005633679,0.009295829,0.0006553236,0.001436902,0.002638374,0.00002217915,0.003136347],"genre_scores_gemma":[0.9946641,0.004024673,0.00005745865,0.0001961986,0.0001272506,0.00000233082,0.0008547342,0.000005702786,0.00006759159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4159413,"threshold_uncertainty_score":0.2554654,"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."}}