{"id":"W6939097129","doi":"10.6068/dp14ba8bb82de84","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Children and Youth - Low-Income Families | Country: Canada | Table: Family characteristics, Low Income Measures, by family type and family type composition | Variable: Number in family type, Family types with 1 child, Low income lone-parent families, Before-tax income | Units: , 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-029.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Population; Economic statistics; Census; Summary statistics; Family income; Welfare; Official statistics; Distribution (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002241525,0.001722126,0.002253228,0.0001821015,0.000310831,0.000317417,0.001960332,0.0009021921,0.0008405395],"category_scores_gemma":[0.00007440303,0.001603476,0.000002071442,0.0006070604,0.0006642994,0.0004846535,0.001012451,0.002171368,0.0001395229],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937606,"about_ca_system_score_gemma":0.006745009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991758,"about_ca_topic_score_gemma":0.8810992,"domain_scores_codex":[0.9929659,0.0002761817,0.001534139,0.002171266,0.001671683,0.001380767],"domain_scores_gemma":[0.9944069,0.0004039527,0.000967967,0.002804427,0.0003996496,0.001017084],"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":[0.0006942936,0.0003037582,0.0006945024,0.0007713533,0.00127639,0.0002516954,0.00001566556,0.00003453627,0.0004358798,0.00006245035,0.9952635,0.0001959503],"study_design_scores_gemma":[0.001716911,0.0001847175,0.001031518,0.0004340905,0.001210595,0.000120573,0.0003540679,0.0004773685,0.000001760897,0.000002004301,0.9925329,0.001933506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00179156,0.006172663,0.00001005776,0.000003531501,0.0007095731,0.0006690657,0.9870705,0.0001544772,0.003418584],"genre_scores_gemma":[0.006188652,0.004013751,0.0001799142,0.0005474893,0.0003598779,0.0000279335,0.9864728,0.0004716044,0.001737916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1106589,"threshold_uncertainty_score":0.9995525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009148867073948323,"score_gpt":0.2151930447966536,"score_spread":0.2060441777227053,"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."}}