{"id":"W6957683284","doi":"10.6068/dp14ba820ca6954","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: 90 years and over, Divorced, Males | 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; Population statistics; Marital status; 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":[0.002298252,0.002300323,0.002287649,0.007192521,0.003336146,0.004306218,0.004876433,0.00138591,0.143492],"category_scores_gemma":[0.01862709,0.001726223,0.001924706,0.04108685,0.0006450179,0.002211147,0.002269103,0.00317132,0.08015758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0534428,"about_ca_system_score_gemma":0.1284859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945303,"about_ca_topic_score_gemma":0.9923022,"domain_scores_codex":[0.9962577,0.0002564646,0.0003842936,0.0003863797,0.001917018,0.0007980506],"domain_scores_gemma":[0.9661139,0.001221709,0.0006484161,0.0008800236,0.02957785,0.001558186],"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":[0.00001762101,0.000006398756,0.0005927895,0.0002150977,0.00001227525,0.000006155296,0.00002020064,0.0001141129,0.000008247276,0.000339896,0.9962468,0.002420468],"study_design_scores_gemma":[0.0001374701,0.000009854896,0.01828264,0.0006631584,0.0000466996,0.00002278106,0.0003645342,0.000339709,0.0001226775,0.0006212976,0.9793172,0.00007188503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005269542,0.00006910675,0.00004085262,0.0001374298,0.00003873164,0.0000251542,0.9977089,0.00008006286,0.001847101],"genre_scores_gemma":[0.001076321,0.000472834,0.000793561,0.000215814,0.00002393542,0.0002063928,0.9897909,0.0001837337,0.007236493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.143492,"threshold_uncertainty_score":0.4800284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605695780199196,"score_gpt":0.2610070217598052,"score_spread":0.2349500639578133,"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."}}