{"id":"W6957925917","doi":"10.6068/dp14ba822ed5354","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: 95 years, Net non-permanent residents, Both sexes | 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; Net migration rate; Summary statistics; Demographic statistics; Socioeconomic status; Economic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002114675,0.002284637,0.002654176,0.006692268,0.003229359,0.004728387,0.005124857,0.001290226,0.1143449],"category_scores_gemma":[0.01755311,0.001638299,0.001990426,0.03480713,0.000606878,0.002363737,0.002443286,0.002963471,0.05821135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04443535,"about_ca_system_score_gemma":0.1167744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943329,"about_ca_topic_score_gemma":0.9919752,"domain_scores_codex":[0.9969812,0.0002559086,0.0003598938,0.0004125366,0.00130092,0.000689505],"domain_scores_gemma":[0.9727927,0.0009437031,0.0006668805,0.0008207057,0.02335451,0.001421378],"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":[0.00002338513,0.000006018784,0.0009556216,0.0002469466,0.00001988573,0.000007073725,0.00003104305,0.0001160446,0.000008492559,0.0003831835,0.9958553,0.002347059],"study_design_scores_gemma":[0.0002018368,0.00001398058,0.02276558,0.001078518,0.00007420815,0.00003587726,0.0005819739,0.0006852866,0.0001626771,0.0009378405,0.9733589,0.0001032591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006038457,0.00005967185,0.00004666482,0.0001486486,0.00003752654,0.00002467236,0.9983307,0.00009477447,0.001197017],"genre_scores_gemma":[0.001260879,0.0004278927,0.0007769586,0.000217007,0.00002597143,0.0002386504,0.9916545,0.0002072386,0.005190984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8856551,"threshold_uncertainty_score":0.3825218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208376993262579,"score_gpt":0.2288527911186111,"score_spread":0.2167690211859853,"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."}}