{"id":"W6957825112","doi":"10.6068/dp14ba7b4d60162","title":"Trend 1962 - 1971. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Births, by sex | Variable: Both sexes | Units: #, 1962-1971. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-159.","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 statistics; Demographic statistics; Population; Fertility; Socioeconomic status; Economic statistics; Official 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":[0.002321838,0.002111247,0.002330055,0.007933609,0.00339674,0.004346227,0.004692184,0.001283295,0.1239637],"category_scores_gemma":[0.0175472,0.001682089,0.001892625,0.03530331,0.0006409309,0.00210188,0.00242654,0.003071406,0.06530871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.050461,"about_ca_system_score_gemma":0.1373644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994265,"about_ca_topic_score_gemma":0.9918876,"domain_scores_codex":[0.9964653,0.0002589025,0.0004113323,0.0004448684,0.00162439,0.0007950382],"domain_scores_gemma":[0.970341,0.001067931,0.000728191,0.0009227992,0.02538639,0.001553569],"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":[0.00002085207,0.000005425511,0.0008682378,0.0002499087,0.00001672508,0.000007254245,0.00002894926,0.0001096386,0.000009919359,0.0004152574,0.9958817,0.0023862],"study_design_scores_gemma":[0.0001359102,0.0000118294,0.02330698,0.0007647405,0.00005137178,0.00002913355,0.0004261639,0.0003962145,0.0001423738,0.0006824445,0.9739788,0.00007414021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000526009,0.00005802716,0.00004528911,0.0001359931,0.00004288361,0.00003115784,0.9980215,0.00008314068,0.001529514],"genre_scores_gemma":[0.001197038,0.0004262221,0.0007691198,0.0002184274,0.00002715242,0.000254248,0.9897264,0.0001820961,0.007199261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239637,"threshold_uncertainty_score":0.4147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124812350064205,"score_gpt":0.243978761718281,"score_spread":0.2227306382176389,"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."}}