{"id":"W6976917798","doi":"10.6068/dp15a72631b3667","title":"TREND: Statistics Canada. CANSIM: Employment and Unemployment | Province: Alberta | Sub Province: Calgary, Alberta | Table ID: 2820110 | Table: Labour force survey estimates (LFS), by census metropolitan area based on 2006 census boundaries, sex and age group | Variable: 15 to 24 years, Labour force, Both sexes, 1996 - 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 075-001-136","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Unemployment; Metropolitan area; Official statistics; Economic statistics; Descriptive statistics; Socioeconomic status; American Community Survey; Wages and salaries","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":[0.001928268,0.002224977,0.002487293,0.008851366,0.003667697,0.005208651,0.004909572,0.001308942,0.1543218],"category_scores_gemma":[0.01482266,0.001689555,0.001766514,0.04040367,0.0006755405,0.002341701,0.002185808,0.002418613,0.09271653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04585042,"about_ca_system_score_gemma":0.135406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943191,"about_ca_topic_score_gemma":0.9929401,"domain_scores_codex":[0.9960783,0.0002664347,0.0004023556,0.0006030786,0.001801748,0.0008480797],"domain_scores_gemma":[0.9691937,0.001359942,0.0009909126,0.001129843,0.02566027,0.001665213],"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":[0.00001680655,0.000003975998,0.0007861939,0.0002095813,0.00001322714,0.000005867174,0.00002261202,0.00008143856,0.000007705019,0.000322404,0.9963458,0.00218443],"study_design_scores_gemma":[0.00009395281,0.000008176112,0.01666776,0.0007641395,0.00004271383,0.00002041155,0.0004386465,0.0003444375,0.00009231247,0.0006347579,0.9808263,0.00006639418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000580782,0.00006801495,0.0000437574,0.0001602546,0.00004490881,0.00002074117,0.9971433,0.0001127257,0.002348154],"genre_scores_gemma":[0.001053809,0.0004333251,0.0006244655,0.0002141787,0.00002926581,0.0001623789,0.9866546,0.0002839635,0.01054402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1543218,"threshold_uncertainty_score":0.5162579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462760907824233,"score_gpt":0.2488554740064352,"score_spread":0.2342278649281929,"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."}}