{"id":"W6901423643","doi":"10.6068/dp14ba7f72d8931","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: 34 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":[0.002284904,0.002276834,0.002308363,0.007164702,0.003216851,0.00427713,0.004567358,0.001297142,0.1153326],"category_scores_gemma":[0.01644227,0.001629344,0.002084751,0.03176546,0.0006024279,0.002278472,0.002380397,0.003278215,0.05751898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05621506,"about_ca_system_score_gemma":0.1449624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954605,"about_ca_topic_score_gemma":0.9935388,"domain_scores_codex":[0.996458,0.0002747844,0.000350345,0.000381104,0.001747069,0.0007886243],"domain_scores_gemma":[0.9730086,0.0007792501,0.0005470809,0.0006725838,0.02370978,0.001282665],"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":[0.00002221956,0.00000699385,0.0009064303,0.0002531073,0.00002220921,0.000007648398,0.00002929354,0.0001702684,0.00001109096,0.0005520025,0.9944947,0.003523974],"study_design_scores_gemma":[0.0001416246,0.00001370644,0.02068341,0.000848988,0.00006738682,0.000033763,0.0004587641,0.0006938936,0.0001569539,0.0009064646,0.9759054,0.00008966664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000948557,0.0001284844,0.00009789195,0.0002532389,0.00007320729,0.00004780988,0.9963222,0.0001478347,0.002834603],"genre_scores_gemma":[0.002004923,0.000866697,0.001496166,0.000358957,0.00003986783,0.0003291563,0.9837468,0.0002921683,0.0108652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1153326,"threshold_uncertainty_score":0.4078707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778671052139292,"score_gpt":0.2648415080331055,"score_spread":0.2370547975117125,"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."}}