{"id":"W6976622026","doi":"10.6068/dp14bacd8662138","title":"Trend 1991 - 2050. United States Census Bureau. Components of Population Change - International: Population | Country: Canada | Age Group: All Ages, 1991-2050. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-036-001.","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; Projections of population growth; Population growth; Demographic analysis; Demographic statistics; International comparisons","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834682,0.001873876,0.002340043,0.005363945,0.001942201,0.003156181,0.003760359,0.001011299,0.06730743],"category_scores_gemma":[0.01096705,0.001288739,0.001798978,0.0222105,0.0004135498,0.002015085,0.001855879,0.003467273,0.04444026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01987746,"about_ca_system_score_gemma":0.05353056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9554685,"about_ca_topic_score_gemma":0.9307207,"domain_scores_codex":[0.9979715,0.0001539304,0.0002563128,0.0003006708,0.0009285528,0.0003890895],"domain_scores_gemma":[0.9844483,0.000509362,0.0004675821,0.0004658993,0.01343065,0.0006782853],"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":[0.00002123426,0.000008663694,0.001067231,0.0003321049,0.00002689792,0.000005906807,0.00002167133,0.000125907,0.00001193726,0.0003435515,0.9957166,0.002318223],"study_design_scores_gemma":[0.0001852957,0.00001722664,0.03019139,0.0009064855,0.00008707109,0.00003374479,0.000346838,0.0005126063,0.0001749786,0.0007874755,0.9666908,0.00006616897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005887507,0.00004670163,0.00003801898,0.00006701991,0.00003524111,0.00003325186,0.9989216,0.00005786146,0.0007414895],"genre_scores_gemma":[0.0007001649,0.0002232525,0.0004522277,0.0001062157,0.00001640502,0.0002343326,0.9966083,0.00007884759,0.001580427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06730743,"threshold_uncertainty_score":0.2251658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482603410785866,"score_gpt":0.3140304994926723,"score_spread":0.2192044653848136,"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."}}