{"id":"W6957941949","doi":"10.6068/dp14ba8e071b487","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Table: Economic dependency profile, by sex, taxfilers and income, and source of income | Variable: Provincial Refundable Tax Credits and Family Benefits, Both sexes, Amount of income | Units: $CAD x 1,000, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-137.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Population; Social insurance; Population statistics; Social security; Social statistics; Summary statistics; Government (linguistics)","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":[0.002285038,0.002601803,0.002846975,0.007836364,0.002988016,0.00486224,0.005428751,0.001590721,0.1056036],"category_scores_gemma":[0.02028,0.002132863,0.002261592,0.0377689,0.0006344543,0.002626363,0.002355689,0.003441079,0.06674229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04746271,"about_ca_system_score_gemma":0.1146605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920458,"about_ca_topic_score_gemma":0.9895864,"domain_scores_codex":[0.9958579,0.0002829248,0.0004830153,0.0005666501,0.001883314,0.0009262284],"domain_scores_gemma":[0.9674535,0.001418492,0.001126617,0.001120381,0.02733579,0.001545035],"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":[0.00002476772,0.000006151419,0.0008132963,0.0002279438,0.00001866908,0.000005671397,0.000017087,0.000097741,0.000008072573,0.0002680034,0.9972451,0.001267596],"study_design_scores_gemma":[0.0002218211,0.00001316046,0.02173709,0.0009318648,0.00007127474,0.00002626912,0.0003657906,0.0004936226,0.000187819,0.0006983636,0.9751641,0.00008878967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003864746,0.00003511607,0.0000174539,0.00008811784,0.00002012965,0.00001089889,0.9990844,0.00005367864,0.000651521],"genre_scores_gemma":[0.0005155961,0.0001806684,0.0002732412,0.0001158626,0.00001387619,0.0001041194,0.9954374,0.0001077869,0.003251357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1056036,"threshold_uncertainty_score":0.3532794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471374257820295,"score_gpt":0.2249473806824165,"score_spread":0.2102336381042136,"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."}}