{"id":"W6958031240","doi":"10.6068/dp14baa3e380987","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Province: Saskatchewan | Table: Family characteristics, persons receiving Employment Insurance, by sex and age group | Variable: 15 to 19 years, Both sexes | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-137.","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; Official statistics; Population; Economic statistics; Social statistics; Socioeconomic status; Population statistics; Government (linguistics); Summary statistics; Social security","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":[0.002436153,0.002532294,0.002927937,0.008372777,0.00315672,0.005033168,0.005663452,0.001732592,0.1110277],"category_scores_gemma":[0.02211852,0.002086966,0.002338123,0.04015378,0.0006127015,0.00266018,0.00252173,0.003365541,0.06377803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04759207,"about_ca_system_score_gemma":0.1325271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924663,"about_ca_topic_score_gemma":0.9902506,"domain_scores_codex":[0.9957386,0.0003295583,0.0005456959,0.0005850558,0.001814961,0.0009861479],"domain_scores_gemma":[0.9667488,0.001597936,0.001110387,0.001233424,0.02765992,0.001649463],"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":[0.00002562455,0.000005853556,0.000795958,0.0002670858,0.00002194092,0.000006586737,0.00002035101,0.0001081568,0.000008526221,0.0003464987,0.9969233,0.001470101],"study_design_scores_gemma":[0.0002294047,0.00001339879,0.02082412,0.001129554,0.00008337364,0.00002837064,0.0004448865,0.0005075103,0.0001791473,0.000873094,0.975584,0.0001032291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003514228,0.00003843005,0.00002138243,0.0001047423,0.00002250088,0.00001362402,0.9990125,0.00005457403,0.0006970878],"genre_scores_gemma":[0.0006384574,0.000252101,0.0003954798,0.0001592867,0.00001560687,0.000149446,0.9947944,0.0001266606,0.003468503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1110277,"threshold_uncertainty_score":0.3714248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804902430835177,"score_gpt":0.2360688688837844,"score_spread":0.2180198445754326,"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."}}