{"id":"W6976748678","doi":"10.6068/dp14ba827bbd615","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type, family composition and family income | Variable: Families with 1 child, Lone-parent families, $50,000 and over | 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":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Population; Economic statistics; Family income; Demographic statistics; Official statistics; Fertility; Summary 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":[0.002281818,0.002459488,0.002957617,0.00798208,0.003474544,0.004936914,0.006388632,0.001493115,0.08757532],"category_scores_gemma":[0.01785243,0.002002526,0.002475384,0.03902669,0.0006272478,0.002508562,0.002590599,0.003307251,0.04642082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05648238,"about_ca_system_score_gemma":0.1240689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954078,"about_ca_topic_score_gemma":0.9936936,"domain_scores_codex":[0.9959834,0.0002850734,0.0004589937,0.0005214256,0.001730433,0.001020812],"domain_scores_gemma":[0.9675856,0.001233399,0.001055088,0.0009945013,0.02737476,0.001756739],"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":[0.00002822847,0.000008515563,0.001748685,0.0002943708,0.00002660417,0.000008406519,0.00003545979,0.0001376022,0.000008865693,0.0003918997,0.9953335,0.001977813],"study_design_scores_gemma":[0.0002145117,0.00001676545,0.04302071,0.001233409,0.00008697169,0.00003753749,0.0008099462,0.000635929,0.0001908123,0.0008645158,0.9527745,0.0001143793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007239619,0.00004516585,0.00002625374,0.0001037783,0.00002240309,0.00001696709,0.9989065,0.00005635264,0.0007501564],"genre_scores_gemma":[0.00108253,0.0002877048,0.0004402173,0.0001509037,0.00001630332,0.0001770177,0.9938501,0.0001135316,0.00388161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08757532,"threshold_uncertainty_score":0.4098103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340866275615002,"score_gpt":0.2113870561514348,"score_spread":0.1979783933952848,"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."}}