{"id":"W6957992850","doi":"10.6068/dp14baa3e494793","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Province: New Brunswick | 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; Economic statistics; Population; Social statistics; Population statistics; Summary statistics; Socioeconomic status; Government (linguistics); 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":[0.00255769,0.002532758,0.002990957,0.008739677,0.003284241,0.005136309,0.00570554,0.0017314,0.1092409],"category_scores_gemma":[0.02254337,0.002142284,0.002416229,0.04051033,0.0006217589,0.002679243,0.002512342,0.003420805,0.062346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04890355,"about_ca_system_score_gemma":0.1345224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929702,"about_ca_topic_score_gemma":0.9907132,"domain_scores_codex":[0.995562,0.0003375829,0.0005603147,0.0005967082,0.001915656,0.001027805],"domain_scores_gemma":[0.9672829,0.001596186,0.001133504,0.001217826,0.02712131,0.001648328],"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":[0.00002539186,0.000005871024,0.0007814704,0.0002745762,0.00002159363,0.000006727768,0.00002129485,0.0001057725,0.000008437239,0.0003493993,0.9969171,0.001482408],"study_design_scores_gemma":[0.0002139767,0.00001280776,0.0198785,0.001093711,0.00008004561,0.00002879115,0.000427758,0.0004696462,0.0001704047,0.000800807,0.9767231,0.000100385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003517787,0.00004134772,0.0000215923,0.0001080735,0.0000237577,0.00001406938,0.9989888,0.00005581412,0.0007112905],"genre_scores_gemma":[0.0006374654,0.0002537705,0.0003988723,0.0001539263,0.00001623178,0.0001479742,0.9947925,0.0001286203,0.003470635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1092409,"threshold_uncertainty_score":0.3654474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200491848112443,"score_gpt":0.2394049913945697,"score_spread":0.2193558065833254,"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."}}