{"id":"W6938923208","doi":"10.6068/dp14ba7f72b0a30","title":"Trend 1971 - 2013. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Estimates of population, by age group and sex for July 1 | Variable: 12 years, Males | Units: # Persons, 1971-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Population statistics; Economic statistics; Residence; Socioeconomic status; Projections of 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":[0.002287381,0.002280573,0.00230844,0.007145055,0.003214001,0.004270702,0.004567148,0.001290049,0.1154389],"category_scores_gemma":[0.01641553,0.001625018,0.002087018,0.03181567,0.0006037856,0.00228197,0.002377373,0.003288011,0.05724447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05610315,"about_ca_system_score_gemma":0.14525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954728,"about_ca_topic_score_gemma":0.9935492,"domain_scores_codex":[0.9964567,0.0002762405,0.0003500015,0.0003816884,0.001747314,0.0007880406],"domain_scores_gemma":[0.9731901,0.0007757504,0.0005432515,0.0006698027,0.02354337,0.001277649],"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":[0.0000222188,0.000007007549,0.0009067171,0.0002541759,0.00002234741,0.00000768442,0.00002948252,0.0001708689,0.0000110665,0.0005593274,0.994449,0.003560017],"study_design_scores_gemma":[0.0001408474,0.00001367933,0.0205553,0.0008491803,0.00006739614,0.00003389492,0.0004595404,0.0006941752,0.000155894,0.0009150831,0.9760255,0.00008946779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009522919,0.0001300861,0.00009954497,0.0002548239,0.00007365819,0.00004818576,0.9962952,0.000148456,0.00285476],"genre_scores_gemma":[0.002027191,0.0008791021,0.001524042,0.0003618286,0.00004011382,0.0003326706,0.9835986,0.0002943941,0.01094203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1154389,"threshold_uncertainty_score":0.4070587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867349563843436,"score_gpt":0.2637341730249086,"score_spread":0.2350606773864742,"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."}}