{"id":"W6957890479","doi":"10.6068/dp14ba8780eef9","title":"Trend 2000 - 2006. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, economic dependency profile, by family type and source of income | Variable: Female partners in couple families, Number of persons or families, Private pensions | Units: $CAD, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Socioeconomic status; Population; Dependency ratio; Demographic statistics; Official statistics; Summary statistics; Population 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00226885,0.002488027,0.002901215,0.008194991,0.003483787,0.005037693,0.006400096,0.001418236,0.09394235],"category_scores_gemma":[0.01721591,0.001935525,0.002423815,0.03908169,0.0006158524,0.002468412,0.002520178,0.003143895,0.05126655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05744771,"about_ca_system_score_gemma":0.1219918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9954614,"about_ca_topic_score_gemma":0.993933,"domain_scores_codex":[0.9959961,0.0002731999,0.0004490917,0.0005116363,0.001760205,0.00100975],"domain_scores_gemma":[0.9665458,0.001186269,0.001060524,0.001009049,0.028443,0.001755418],"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":[0.00002889195,0.000008242739,0.001600915,0.0002759411,0.0000239398,0.00000782016,0.00003492968,0.0001236502,0.000008841211,0.0003735011,0.9956596,0.001853617],"study_design_scores_gemma":[0.0001876374,0.00001513343,0.03800222,0.001070598,0.00007429898,0.00003218101,0.0006892551,0.0005291965,0.0001764061,0.0007038851,0.958418,0.0001010653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00006505186,0.00003914409,0.00002283537,0.000091098,0.00002068785,0.00001517081,0.9989201,0.00005499561,0.0007709494],"genre_scores_gemma":[0.0009314645,0.0002479575,0.0003976606,0.0001302242,0.00001430617,0.0001491619,0.9940096,0.0001055598,0.004014038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9954614,"threshold_uncertainty_score":0.4168143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813475568600799,"score_gpt":0.2539434600680567,"score_spread":0.2258087043820488,"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."}}