{"id":"W6939118277","doi":"10.6068/dp14ba8391bfa82","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: 41 years, All marital statuses, Both sexes | 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; Residence; Economic statistics; 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":[0.002231129,0.002220552,0.002251842,0.007155678,0.003363208,0.0042815,0.004898033,0.00135598,0.1407047],"category_scores_gemma":[0.01867548,0.001694143,0.001871573,0.04074101,0.0006383903,0.002169453,0.002232321,0.003063204,0.07612107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05362733,"about_ca_system_score_gemma":0.1288827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947457,"about_ca_topic_score_gemma":0.9926294,"domain_scores_codex":[0.9963763,0.0002441954,0.000363199,0.0003836889,0.001869224,0.0007632982],"domain_scores_gemma":[0.966052,0.00124331,0.0006507965,0.0009187264,0.02961675,0.001518414],"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":[0.00001680415,0.000006060845,0.000595984,0.0002056262,0.00001226428,0.000006001785,0.00002003528,0.0001138431,0.000008155238,0.0003475358,0.9963163,0.002351434],"study_design_scores_gemma":[0.00013203,0.00000903633,0.01734426,0.0006316021,0.00004532303,0.00002191791,0.000348971,0.0003531615,0.0001247354,0.000639245,0.9802791,0.00007073624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005061374,0.000062804,0.00004043288,0.0001349184,0.0000359589,0.00002293699,0.9978447,0.00007740584,0.001730237],"genre_scores_gemma":[0.001101813,0.0004497543,0.0008134797,0.0002122957,0.00002344941,0.0001977018,0.990103,0.0001787122,0.006919891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1407047,"threshold_uncertainty_score":0.470704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750288413651129,"score_gpt":0.2619175249596308,"score_spread":0.2344146408231196,"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."}}