{"id":"W6920160568","doi":"10.6068/dp14bad422fa659","title":"Trend 1991 - 2050. United States Census Bureau. Components of Population Change - International: Fertility Rate for Age 20 - 24 | Country: Canada, 1991-2050. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-036-016.","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; Fertility; Total fertility rate; Demographic analysis; Projections of population growth; Population growth; Demographic 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":[0.002079953,0.001971517,0.002366355,0.005268856,0.001791654,0.002936564,0.003980001,0.001125837,0.05986167],"category_scores_gemma":[0.01267627,0.001361281,0.001906526,0.02184337,0.0004360321,0.002075556,0.001861962,0.003649056,0.04314274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01893684,"about_ca_system_score_gemma":0.04784955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9418843,"about_ca_topic_score_gemma":0.9032965,"domain_scores_codex":[0.9977164,0.0001831493,0.0003047723,0.0003224918,0.001035344,0.00043786],"domain_scores_gemma":[0.9830114,0.0005994334,0.0005532733,0.0005191903,0.0146,0.0007168708],"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":[0.0000275783,0.000009906011,0.001285568,0.0003749998,0.00002872343,0.000006670596,0.00002065941,0.0001425823,0.00001411094,0.0003181151,0.9954135,0.00235764],"study_design_scores_gemma":[0.0002620528,0.00002439704,0.03909035,0.001125347,0.0001023332,0.0000399572,0.0003543509,0.0005476246,0.0002114443,0.0007844304,0.9573815,0.00007612279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005663717,0.00004827245,0.00003499622,0.00006696274,0.00003712104,0.00003057932,0.9991104,0.00005003305,0.0005649483],"genre_scores_gemma":[0.0007091786,0.0002330762,0.00038061,0.0001035199,0.00001781903,0.0002237314,0.9970197,0.0000654031,0.001246909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05986167,"threshold_uncertainty_score":0.2002572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142728999655744,"score_gpt":0.3245901303929575,"score_spread":0.2103172304273832,"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."}}