{"id":"W6976455573","doi":"10.6068/dp14ba7f3de2313","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: -1 year, Emigrants, Males | Units: # Persons, 1972-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-160.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Population statistics; Demographic statistics; Summary statistics; Socioeconomic status; Economic statistics; Social statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002072515,0.002240867,0.002544305,0.007021091,0.003170108,0.00465881,0.004936718,0.001284213,0.1113792],"category_scores_gemma":[0.01704949,0.001575514,0.00192261,0.03573509,0.0006175946,0.002403481,0.00245579,0.003026994,0.05964214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04448457,"about_ca_system_score_gemma":0.1185862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940028,"about_ca_topic_score_gemma":0.9916687,"domain_scores_codex":[0.9967829,0.000244796,0.0003714593,0.0004331084,0.001442976,0.0007247486],"domain_scores_gemma":[0.973182,0.0009103908,0.0006805574,0.0008227095,0.02300069,0.001403642],"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":[0.00002092954,0.000006025822,0.0009451329,0.0002227703,0.00001855588,0.000006691767,0.00002760908,0.0001136484,0.000008424552,0.0003646146,0.9961188,0.002146849],"study_design_scores_gemma":[0.0001672352,0.00001256596,0.02190331,0.0009262505,0.00006175039,0.00003105007,0.0005150043,0.0005540178,0.0001557023,0.0008152894,0.9747674,0.00009041513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005656284,0.00005453537,0.00004132621,0.0001326654,0.00003696274,0.00002274929,0.9984055,0.00008525085,0.001164509],"genre_scores_gemma":[0.001124025,0.0003690408,0.0006502887,0.0001932471,0.00002516778,0.0002040814,0.9920814,0.0001814717,0.005171194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8886207,"threshold_uncertainty_score":0.3726007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505272697613655,"score_gpt":0.2315591255022879,"score_spread":0.2165063985261513,"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."}}