{"id":"W6976156822","doi":"10.6068/dp14ba7f49b1b84","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: 0 years, Immigrants, 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":[0.002072599,0.002217086,0.002530399,0.007105039,0.003118524,0.004531546,0.004849393,0.001244484,0.1106336],"category_scores_gemma":[0.01688994,0.00154444,0.001880496,0.03530009,0.0006109774,0.002306134,0.002455153,0.002940446,0.05681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04479677,"about_ca_system_score_gemma":0.1183847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942032,"about_ca_topic_score_gemma":0.9920048,"domain_scores_codex":[0.9967626,0.0002534981,0.0003668705,0.0004282251,0.001445211,0.0007434092],"domain_scores_gemma":[0.9743471,0.0008948339,0.000668568,0.0007812803,0.02190897,0.001399267],"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":[0.00002048605,0.000005762574,0.0009385612,0.0002211007,0.00001860707,0.000007041672,0.00002876126,0.0001155549,0.000008490492,0.0003776193,0.9961268,0.002131206],"study_design_scores_gemma":[0.0001707756,0.00001290942,0.0228519,0.0009351136,0.00006249754,0.00003263294,0.0005408756,0.0005828838,0.0001571494,0.0008355913,0.9737272,0.00009053588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005957911,0.00005724582,0.00004395653,0.0001379275,0.00003775733,0.00002309092,0.9983726,0.00008740232,0.001180541],"genre_scores_gemma":[0.001210408,0.0003819245,0.0006789691,0.0002021786,0.00002603663,0.0002136907,0.9915968,0.0001893215,0.005500628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1106336,"threshold_uncertainty_score":0.3701063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388304387486019,"score_gpt":0.2289837714146632,"score_spread":0.215100727539803,"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."}}