{"id":"W6958153219","doi":"10.6068/dp14ba8a2dcab95","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: Employment Insurance, 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; Social statistics; Population; Summary statistics; Social insurance; Social security; Population 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":[0.002237905,0.002524094,0.002832038,0.008751757,0.003271591,0.005052466,0.005599103,0.001616688,0.09912051],"category_scores_gemma":[0.02077725,0.001956664,0.002252433,0.03952258,0.0006558951,0.002636296,0.002561123,0.003276757,0.05927199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05091523,"about_ca_system_score_gemma":0.1242027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933842,"about_ca_topic_score_gemma":0.9915036,"domain_scores_codex":[0.9957344,0.0002950024,0.0004897844,0.0005919664,0.001889343,0.0009995328],"domain_scores_gemma":[0.9682137,0.001399724,0.001096621,0.001148474,0.02654887,0.001592663],"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":[0.00002333007,0.000005507563,0.0007854268,0.0002354263,0.00001944143,0.000006123068,0.00001891407,0.00009981373,0.000008046049,0.000358934,0.9970558,0.001383191],"study_design_scores_gemma":[0.0001707703,0.00001109571,0.01877657,0.0009391915,0.00007103648,0.00002684447,0.000385085,0.0004970725,0.0001707231,0.0007644998,0.9780961,0.0000908814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003718789,0.00004117989,0.00002013594,0.0001023038,0.00002085998,0.00001069192,0.9990404,0.00005321557,0.0006740153],"genre_scores_gemma":[0.0006121466,0.0002272526,0.0003342147,0.0001283179,0.00001368046,0.0001060144,0.9953541,0.0001062092,0.003118167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09912051,"threshold_uncertainty_score":0.3694175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457390703339106,"score_gpt":0.2331300921790781,"score_spread":0.218556185145687,"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."}}