{"id":"W6957546751","doi":"10.6068/dp14ba7ee0d5856","title":"Trend 1972 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Changes | Country: Canada | Table: Components of population growth | Variable: Residual deviation | Units: #, 1972-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-162.","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; Population statistics; Economic statistics; Population growth; Social statistics; Demographic statistics; Summary 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":[0.002252375,0.002209802,0.002314398,0.008066325,0.003083509,0.004520134,0.004347407,0.001272865,0.1163399],"category_scores_gemma":[0.01753037,0.001664997,0.001960181,0.03772572,0.0006103474,0.00243347,0.002421875,0.003146706,0.06387867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0491002,"about_ca_system_score_gemma":0.130513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938413,"about_ca_topic_score_gemma":0.9914216,"domain_scores_codex":[0.9962692,0.0002545225,0.0004045613,0.0004446392,0.001846815,0.000780234],"domain_scores_gemma":[0.9708462,0.0009587227,0.0006857322,0.000882695,0.02537253,0.001254066],"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":[0.00001734089,0.000004911018,0.0007826334,0.0002213686,0.00001731439,0.000006320912,0.00002378865,0.0001302196,0.000008287117,0.0004164778,0.9959772,0.00239414],"study_design_scores_gemma":[0.0001209327,0.00001010061,0.01916977,0.0006579587,0.00004943417,0.00002648797,0.0003619523,0.0004850094,0.0001339292,0.0006798907,0.9782293,0.00007523569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005406396,0.00006247275,0.00005325055,0.0001448796,0.00004663254,0.00002771678,0.997818,0.0001057126,0.00168722],"genre_scores_gemma":[0.001137674,0.0004120109,0.0008037084,0.0002016939,0.00002650355,0.0002356051,0.9903377,0.0002094522,0.006635639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1163399,"threshold_uncertainty_score":0.3891958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167239935596909,"score_gpt":0.2474683074874942,"score_spread":0.2157959081315252,"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."}}