{"id":"W6976565500","doi":"10.6068/dp14ba89d21d078","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, single-earner and dual-earner families, by number of children | Variable: Families with or without children, Median employment income, Single-earner-male couple families | Units: $CAD, 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":"American Sports and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Demographic statistics; Population; Economic statistics; Official statistics; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.002226922,0.002547276,0.002921077,0.007783464,0.003458104,0.004821803,0.006370947,0.001519212,0.08873632],"category_scores_gemma":[0.01755313,0.001962198,0.00249705,0.03714214,0.0006084313,0.002369988,0.002475825,0.003401631,0.04614253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04988787,"about_ca_system_score_gemma":0.1079963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942993,"about_ca_topic_score_gemma":0.9929566,"domain_scores_codex":[0.9962745,0.0002540674,0.0004456739,0.0004975356,0.001576318,0.0009518014],"domain_scores_gemma":[0.9686278,0.001221027,0.001103765,0.0009772441,0.02640411,0.001665984],"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":[0.00003121306,0.000008973147,0.00187673,0.0003300939,0.00002869192,0.000008147065,0.0000332286,0.0001364453,0.00001010174,0.0003354585,0.9953483,0.001852583],"study_design_scores_gemma":[0.0002739063,0.00001874822,0.04822585,0.001439735,0.00009827553,0.00003863157,0.0007620589,0.0006536939,0.0002060312,0.0008662408,0.9473004,0.0001164382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006513092,0.00004029954,0.000021917,0.00008776486,0.00001953023,0.00001498144,0.9991046,0.00004664665,0.000599062],"genre_scores_gemma":[0.0008355791,0.0002398396,0.000334663,0.0001292867,0.00001475617,0.000149319,0.9953101,0.00008533886,0.002901017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08873632,"threshold_uncertainty_score":0.3619635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645848144271968,"score_gpt":0.2086516602923294,"score_spread":0.1921931788496097,"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."}}