{"id":"W6938516757","doi":"10.6068/dp14ba8b8c93190","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, Low Income Measures, by family type and family type composition | Variable: Number in family type, Family types with 3 or more children, All low income family types, After-tax income | 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":"Socioeconomic status; Population; Census; Economic statistics; Family income; Official statistics; Fertility; Summary statistics; Demographic 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":[0.002388476,0.002462071,0.002913303,0.007886454,0.003543864,0.004802553,0.006364475,0.001455004,0.08346685],"category_scores_gemma":[0.01766826,0.001982847,0.002478099,0.03764702,0.0006060982,0.002422675,0.002557868,0.003450281,0.04304874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05231668,"about_ca_system_score_gemma":0.1119691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943129,"about_ca_topic_score_gemma":0.9929451,"domain_scores_codex":[0.9959753,0.0002867605,0.0004727558,0.0005185061,0.001755152,0.0009914485],"domain_scores_gemma":[0.965018,0.001249417,0.001172771,0.001016357,0.02980159,0.001741804],"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":[0.00003297743,0.00001035381,0.002178734,0.0003403377,0.00003165631,0.000008982959,0.00003923153,0.0001346471,0.00001086398,0.0003755226,0.9947143,0.00212229],"study_design_scores_gemma":[0.0002468834,0.00001937807,0.05723873,0.001401449,0.0001026904,0.00004082291,0.000860477,0.0006303284,0.0002202049,0.0008826502,0.9382355,0.0001209279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007883825,0.00004366066,0.00002584436,0.00009426071,0.00002060968,0.00001875082,0.9989871,0.0000488211,0.000681977],"genre_scores_gemma":[0.0009464641,0.0002469479,0.000387366,0.0001325174,0.00001530836,0.0001720044,0.9946691,0.00009325693,0.003336943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08346685,"threshold_uncertainty_score":0.3795859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794106561636427,"score_gpt":0.2290490590367255,"score_spread":0.2111079934203613,"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."}}