{"id":"W6901689588","doi":"10.6068/dp14ba845db3f87","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type and sources of income | Variable: Amount of income, Persons not in census families, Employment Insurance | Units: , 2000-2011. 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":"Census; Socioeconomic status; Economic statistics; Population; Demographic statistics; Official statistics; Summary statistics; Family income; 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":[],"consensus_categories":[],"category_scores_codex":[0.002078764,0.002438095,0.002835231,0.008209554,0.003559553,0.004737268,0.005951828,0.001373757,0.08473768],"category_scores_gemma":[0.01596378,0.001783648,0.002365398,0.03818104,0.000586464,0.002318572,0.002567541,0.00301849,0.04079898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05830164,"about_ca_system_score_gemma":0.1198741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957218,"about_ca_topic_score_gemma":0.9943742,"domain_scores_codex":[0.9961672,0.000277459,0.0004419763,0.0004786488,0.001692296,0.0009423374],"domain_scores_gemma":[0.9714143,0.001043902,0.0009665032,0.0008462371,0.02412074,0.001608314],"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":[0.00002892586,0.000008484913,0.001700742,0.0003318924,0.00002911088,0.00000975485,0.0000401374,0.0001311927,0.000009742625,0.0004863391,0.994862,0.002361633],"study_design_scores_gemma":[0.0001827514,0.00001602218,0.04270808,0.001209489,0.00009237231,0.00004148711,0.0008372174,0.0006221538,0.0001852131,0.0008853727,0.9531099,0.0001098669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007812939,0.00005971958,0.00002931283,0.0001134873,0.00002214641,0.00001793184,0.9987777,0.00005393331,0.0008476955],"genre_scores_gemma":[0.001209282,0.0003818037,0.0004973851,0.0001555516,0.00001698669,0.0001710424,0.993276,0.0001072874,0.004184664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08473768,"threshold_uncertainty_score":0.4230099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251232405183895,"score_gpt":0.2334033895685619,"score_spread":0.2082801490501724,"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."}}