{"id":"W6938883413","doi":"10.6068/dp14ba839169d79","title":"Most Recent Data (1971). Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Estimates of population, by marital status, age group and sex | Variable: 25-29 years, All marital statuses, Females | Units: # Persons x 1,000, 1971. 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; Marital status; Population statistics; Economic statistics; Residence; Socioeconomic status; 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":[0.002292271,0.002264721,0.002313632,0.007051278,0.00327342,0.004286333,0.004961016,0.001406586,0.14175],"category_scores_gemma":[0.0187078,0.001735514,0.001939657,0.04070079,0.0006479918,0.002175856,0.002209062,0.003159211,0.07874485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05253737,"about_ca_system_score_gemma":0.1288127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942741,"about_ca_topic_score_gemma":0.9918569,"domain_scores_codex":[0.9963277,0.000250676,0.0003698051,0.0003886475,0.001895225,0.0007678238],"domain_scores_gemma":[0.9659132,0.001242157,0.0006586505,0.0008912799,0.02977066,0.001524094],"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":[0.00001725771,0.000006551181,0.0006096097,0.0002083915,0.00001242856,0.00000599523,0.00001911021,0.0001140108,0.000008191311,0.0003263354,0.996322,0.002349995],"study_design_scores_gemma":[0.0001406868,0.000009648188,0.01808888,0.0006707663,0.00004663377,0.00002174052,0.0003422147,0.0003428916,0.0001247669,0.0006259669,0.9795142,0.00007144946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005044858,0.00006572298,0.00003972168,0.000140342,0.00003804791,0.00002417433,0.9978157,0.00007747774,0.001748371],"genre_scores_gemma":[0.001057669,0.0004698024,0.0008172434,0.0002279069,0.00002512988,0.0002154962,0.989484,0.0001831069,0.007519725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.14175,"threshold_uncertainty_score":0.4742011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538515559013867,"score_gpt":0.2699505654073153,"score_spread":0.2345654098171767,"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."}}