{"id":"W6920172531","doi":"10.6068/dp14bacc569de33","title":"Trend 1991 - 2050. United States Census Bureau. Components of Population Change - International: Growth Rate | Country: Canada, 1991-2050. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-036-006.","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; Population growth; Population; Population statistics; Demographic analysis; International comparisons; Projections of population growth; Net migration rate; Population projection","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":[0.001720529,0.001980563,0.002227619,0.005839161,0.001941206,0.003389418,0.003874999,0.001125046,0.07268661],"category_scores_gemma":[0.01189857,0.001283225,0.001698686,0.02571369,0.0004449064,0.002169575,0.001855547,0.003554675,0.05363663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01880332,"about_ca_system_score_gemma":0.04967955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9479358,"about_ca_topic_score_gemma":0.9180444,"domain_scores_codex":[0.9978455,0.0001418776,0.0002614685,0.0003071491,0.001013074,0.0004309103],"domain_scores_gemma":[0.9824294,0.0006086949,0.0005517696,0.0005406041,0.01511571,0.0007537961],"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":[0.00001916121,0.000007809384,0.0009129107,0.0002941933,0.00002057446,0.000005719262,0.00001849111,0.0001233479,0.00001082375,0.0003116168,0.9964433,0.001831959],"study_design_scores_gemma":[0.0001835326,0.00001625994,0.02781843,0.000867582,0.00006566569,0.00003029217,0.0003455983,0.000478004,0.0001691222,0.0007529998,0.9692091,0.00006333789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004232493,0.00003341577,0.00002510909,0.00004929506,0.00002687095,0.00002022029,0.9992181,0.00004273551,0.0005418882],"genre_scores_gemma":[0.0004930716,0.0001591847,0.0002665507,0.00006712639,0.00001334003,0.0001503105,0.9976017,0.00005830023,0.001190544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07268661,"threshold_uncertainty_score":0.243161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07920306839897208,"score_gpt":0.3048538001185482,"score_spread":0.2256507317195762,"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."}}