{"id":"W6901582734","doi":"10.6068/dp14ba80562f260","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: 15 to 64 years, Emigrants, Both sexes | 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; Summary statistics; Demographic statistics; Economic statistics; Socioeconomic status; 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":[],"consensus_categories":[],"category_scores_codex":[0.002162484,0.002278149,0.002655395,0.007243739,0.00328276,0.004834824,0.005105771,0.001312554,0.120636],"category_scores_gemma":[0.01848883,0.001644139,0.002009758,0.03729027,0.0006338747,0.002508284,0.002601117,0.003087886,0.06347553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04389697,"about_ca_system_score_gemma":0.1176567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994079,"about_ca_topic_score_gemma":0.9917337,"domain_scores_codex":[0.9966162,0.0002708295,0.0004129759,0.000453706,0.001481263,0.0007650679],"domain_scores_gemma":[0.9718881,0.001024707,0.0006964647,0.0008794388,0.02403969,0.001471561],"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":[0.00002086763,0.000005758312,0.0008678377,0.0002234914,0.00001865663,0.000006744101,0.00002918996,0.0001090941,0.000007874402,0.0003687082,0.9962466,0.00209513],"study_design_scores_gemma":[0.0001698747,0.00001236437,0.02030536,0.0009555939,0.00006271993,0.00003240733,0.0005326188,0.0005343423,0.0001461109,0.0008714127,0.9762838,0.00009351314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005211921,0.00005278574,0.000043248,0.0001360054,0.00003771056,0.00002321881,0.9983778,0.00008906887,0.001187988],"genre_scores_gemma":[0.001072822,0.0003693448,0.0006714565,0.000200628,0.00002556797,0.0002171446,0.9920581,0.0002002339,0.005184692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.120636,"threshold_uncertainty_score":0.4035675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135928988206148,"score_gpt":0.2327422893009986,"score_spread":0.2191493904803838,"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."}}