{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001119379,0.001838533,0.003429836,0.000406579,0.0002823983,0.0002798839,0.002478913,0.001084,0.001126115],"category_scores_gemma":[0.000313463,0.001847106,0.000001020783,0.001169667,0.001210471,0.0005925035,0.001441423,0.001504068,0.00006956237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126462,"about_ca_system_score_gemma":0.0466916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997396,"about_ca_topic_score_gemma":0.998009,"domain_scores_codex":[0.9907907,0.0007476262,0.002560408,0.002446644,0.001641815,0.001812783],"domain_scores_gemma":[0.9913573,0.001315862,0.002172444,0.003856034,0.0002548064,0.001043542],"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":[0.0006752132,0.0001950869,0.001653836,0.001384724,0.001184617,0.0004410014,0.00002720186,0.00008508299,0.0001033701,0.0001116886,0.9940117,0.0001264815],"study_design_scores_gemma":[0.002151479,0.0001760152,0.0002390416,0.0002004897,0.001872192,0.0001544183,0.00201847,0.003478118,1.639998e-7,1.833104e-7,0.987784,0.001925418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005061463,0.008920588,0.000004763778,0.000001097769,0.0007850422,0.001596809,0.985052,0.00015002,0.002983566],"genre_scores_gemma":[0.0004834967,0.009238867,0.0005473038,0.0002277137,0.000135924,0.0000381311,0.9837667,0.0009744922,0.004587374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04556514,"threshold_uncertainty_score":0.999787,"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."}}