{"id":"W6938697576","doi":"10.6068/dp14ba7f4a05986","title":"Trend 2002 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 94 years, Emigrants, Males | Units: # Persons, 2002-2013. 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":[],"consensus_categories":[],"category_scores_codex":[0.00209939,0.002287259,0.002597542,0.006804914,0.00318136,0.004565576,0.005014008,0.001254055,0.1106687],"category_scores_gemma":[0.01676548,0.001602838,0.001945254,0.03463073,0.0005998414,0.00228334,0.002381022,0.002891555,0.05735047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04356293,"about_ca_system_score_gemma":0.1133727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942537,"about_ca_topic_score_gemma":0.9917972,"domain_scores_codex":[0.9969577,0.0002555448,0.0003515936,0.0004075459,0.001324712,0.0007030998],"domain_scores_gemma":[0.973159,0.0009240587,0.0006584342,0.0008186277,0.02300196,0.00143797],"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":[0.00002314972,0.000006014858,0.0009833827,0.0002369078,0.00001924118,0.000007173869,0.0000310299,0.0001138445,0.000008972127,0.0003809437,0.995876,0.002313447],"study_design_scores_gemma":[0.0001841586,0.00001399646,0.02451182,0.0009985873,0.00007012649,0.00003447231,0.0005922404,0.0006549814,0.0001675629,0.000872936,0.9718012,0.00009799283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000637121,0.00005762153,0.00004672323,0.0001446148,0.00003756172,0.00002533944,0.9982941,0.00009671266,0.00123357],"genre_scores_gemma":[0.00125806,0.0003901278,0.000745296,0.0002062939,0.00002538529,0.0002323728,0.9915352,0.0002039346,0.005403413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1106687,"threshold_uncertainty_score":0.3702238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456370679248526,"score_gpt":0.2284237757274153,"score_spread":0.21386006893493,"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."}}