{"id":"W6920224584","doi":"10.6068/dp14bad12d6fb46","title":"Trend 1991 - 2050. United States Census Bureau. Components of Population Change - International: Rate of Natural Increase | Country: Canada, 1991-2050. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-036-005.","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; Population growth; Demographic analysis; Projections of population growth; Natural resource; International comparisons; 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":[0.001834088,0.001963671,0.002314004,0.005754831,0.001825258,0.003157432,0.003750876,0.001029511,0.06993628],"category_scores_gemma":[0.01150376,0.001267331,0.001720268,0.02397582,0.0004334559,0.002148438,0.001844922,0.003605437,0.05002098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01823627,"about_ca_system_score_gemma":0.04760348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9427156,"about_ca_topic_score_gemma":0.9057759,"domain_scores_codex":[0.9977603,0.000154385,0.0002908626,0.0003269421,0.00105458,0.0004129622],"domain_scores_gemma":[0.9833167,0.0005787187,0.0005243869,0.0005311811,0.01436263,0.0006863023],"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":[0.00002144119,0.000008464385,0.001014685,0.0003268348,0.00002313383,0.000006216061,0.00001972945,0.0001280885,0.00001270823,0.0003351756,0.9959348,0.002168701],"study_design_scores_gemma":[0.0001849492,0.00001800591,0.03099749,0.0008903117,0.00007485356,0.00003482026,0.0003315542,0.0004970851,0.0001801169,0.0007711588,0.9659521,0.00006767701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005030966,0.00004063091,0.00003294922,0.00005633989,0.00003336061,0.00002596624,0.9990588,0.00005216102,0.0006495158],"genre_scores_gemma":[0.0005720516,0.0001956411,0.0003521563,0.000077112,0.0000154068,0.000180817,0.9972254,0.00006733563,0.001314139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06993628,"threshold_uncertainty_score":0.2339602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469819334232646,"score_gpt":0.3049704682017922,"score_spread":0.2402722748594658,"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."}}