{"id":"W6976385797","doi":"10.6068/dp14bacd8a75564","title":"Trend 1991 - 2050. United States Census Bureau. Components of Population Change - International: Crude Birth Rate | Country: Canada, 1991-2050. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-036-002.","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; Demographic analysis; Population growth; Birth rate; Demographic statistics; Projections of population growth; Total fertility rate","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":[0.002129715,0.002018892,0.002470119,0.006236827,0.001934306,0.002985612,0.004272194,0.001069636,0.06887794],"category_scores_gemma":[0.0132827,0.001431001,0.001936131,0.02540739,0.0004601276,0.002105915,0.00194191,0.003706525,0.04536964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02304055,"about_ca_system_score_gemma":0.05778661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9594615,"about_ca_topic_score_gemma":0.9324999,"domain_scores_codex":[0.9975077,0.0001857436,0.0003352184,0.0003557698,0.001147571,0.0004679548],"domain_scores_gemma":[0.9807427,0.0006696045,0.0006122061,0.0005709513,0.0166416,0.0007629436],"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":[0.00002851115,0.000009630477,0.001269197,0.0004284484,0.00003223277,0.000007150568,0.0000219757,0.0001407542,0.00001392305,0.0003475199,0.9952519,0.002448786],"study_design_scores_gemma":[0.000257641,0.00002417256,0.04361046,0.001270624,0.0001150255,0.00004606649,0.0003821096,0.0005759753,0.0002129323,0.0008838232,0.952535,0.00008623327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005566089,0.0000521362,0.00003775778,0.00006356752,0.00003435335,0.00003162462,0.9990797,0.00005322182,0.0005919054],"genre_scores_gemma":[0.0006468589,0.0002440249,0.0004137371,0.00009558978,0.00001691651,0.0002221677,0.9969273,0.00007198987,0.001361387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06887794,"threshold_uncertainty_score":0.2304196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08454459027756442,"score_gpt":0.3099949477252436,"score_spread":0.2254503574476792,"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."}}