{"id":"W6976644931","doi":"10.6068/dp14baa2db67e64","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Province: Quebec | Table: International migrants, by age group and sex, provinces, and territories | Variable: -1 to 14 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009042538,0.00105286,0.00114841,0.0002534363,0.0002844682,0.0009739248,0.001092057,0.0005640194,0.0002365327],"category_scores_gemma":[0.0001021072,0.001058414,2.958763e-7,0.0003643644,0.0005781808,0.0008686721,0.0006367037,0.0007174846,0.000002196315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423673,"about_ca_system_score_gemma":0.004699879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999844,"about_ca_topic_score_gemma":0.9999913,"domain_scores_codex":[0.9940198,0.0005411495,0.001003759,0.002072047,0.001534907,0.0008283058],"domain_scores_gemma":[0.9960995,0.0004943471,0.000799812,0.001657222,0.000047864,0.0009012248],"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":[0.0002056103,0.000098152,0.003115372,0.0007748762,0.0003598385,0.0001932197,0.00002075885,0.00000222336,0.00001417555,0.0001319961,0.9945003,0.0005835002],"study_design_scores_gemma":[0.001089599,0.0001258271,0.0003313472,0.0001095012,0.0004413609,0.000162935,0.0004719946,0.001574762,2.582625e-8,5.423132e-7,0.9945229,0.001169197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005165947,0.008418283,0.000007797412,0.000007694928,0.0005559526,0.001580156,0.9891611,0.0001194872,0.00009788808],"genre_scores_gemma":[0.0001559001,0.002059653,0.000582793,0.0001582594,0.0002702758,0.00005178554,0.9946263,0.000297285,0.001797715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00635863,"threshold_uncertainty_score":0.9991866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199610787814697,"score_gpt":0.2293259613506121,"score_spread":0.2173298534724651,"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."}}