{"id":"W6939015466","doi":"10.6068/dp14ba889459038","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Labour force survey estimates (LFS), by urban and rural areas based on 2006 census boundaries, sex and age group | Variable: 15 years and over, Labour force, Males, Census metropolitan area and census agglomeration | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","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; Rural area; American Community Survey; Population; Official statistics; Population statistics; Socioeconomic status; Metropolitan area; Economic 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":[0.002479005,0.002398907,0.002608371,0.008170595,0.004015381,0.00520525,0.005076185,0.001400364,0.1281056],"category_scores_gemma":[0.01964851,0.001909023,0.002092259,0.04035112,0.000670402,0.002603461,0.002549555,0.003021316,0.06650534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05979634,"about_ca_system_score_gemma":0.1621476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961308,"about_ca_topic_score_gemma":0.9944639,"domain_scores_codex":[0.9954927,0.0003493429,0.0005103179,0.0005465453,0.002033744,0.001067279],"domain_scores_gemma":[0.9649173,0.001293581,0.0009043904,0.001070559,0.02978249,0.00203176],"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":[0.00002176589,0.00000589426,0.0008545539,0.0002050409,0.00001652708,0.000005974287,0.00002631536,0.00008247863,0.000008480694,0.0003827824,0.9961726,0.002217518],"study_design_scores_gemma":[0.0001350331,0.00001225452,0.02155158,0.0008985517,0.00006274257,0.00002811199,0.0005723385,0.0004791896,0.000145262,0.0007713914,0.9752522,0.00009138206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006625682,0.00006554527,0.00004345879,0.0001834383,0.00004645042,0.00002523847,0.9978909,0.0000944311,0.001584301],"genre_scores_gemma":[0.001217777,0.0004606834,0.0008234223,0.0002934163,0.00002883522,0.0002208877,0.9881799,0.0002398072,0.008535251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1281056,"threshold_uncertainty_score":0.4338549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198061208285194,"score_gpt":0.2388413297365913,"score_spread":0.2190352089080719,"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."}}