{"id":"W6957619610","doi":"10.6068/dp14ba7f4a3d287","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: 37 years, 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; 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":[0.002163087,0.002262274,0.002562981,0.007298165,0.00316167,0.004539201,0.00494053,0.001308013,0.1141079],"category_scores_gemma":[0.01772484,0.001640949,0.001947226,0.03633338,0.0006163015,0.002412553,0.002464408,0.003059729,0.05853113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04589023,"about_ca_system_score_gemma":0.1229414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942613,"about_ca_topic_score_gemma":0.9916362,"domain_scores_codex":[0.9965582,0.0002657275,0.0003994814,0.0004452533,0.001553683,0.0007775278],"domain_scores_gemma":[0.9719256,0.0009571528,0.0007121196,0.0008331577,0.02408674,0.001485286],"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":[0.00002235784,0.000006309969,0.000986251,0.0002345962,0.00001883387,0.000006955677,0.00002880107,0.0001168761,0.000009025994,0.0003697486,0.9959156,0.002284593],"study_design_scores_gemma":[0.0001749077,0.000013804,0.02379856,0.0009696565,0.00006401448,0.00003228952,0.000548136,0.0005718529,0.0001593104,0.0008335143,0.9727404,0.00009362159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006043336,0.00005733393,0.00004542583,0.000141485,0.00004012196,0.00002597648,0.9982877,0.00009034814,0.001251156],"genre_scores_gemma":[0.001219839,0.0004039433,0.0007350246,0.0002224727,0.0000277264,0.0002335845,0.9910053,0.0002018046,0.005950311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1141079,"threshold_uncertainty_score":0.3817289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476169284536582,"score_gpt":0.2311202086838252,"score_spread":0.2163585158384594,"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."}}