{"id":"W6901797433","doi":"10.6068/dp14ba87b1f7295","title":"Trend 1976 - 2013. Statistics Canada. CANSIM: Children and Youth - Labor Market Activities | Country: Canada | Table: Labour force survey estimates (LFS), by full- and part-time students during school months, sex and age group | Variable: 15 to 29 years, Unemployment, Males, Total, all students and non-students | Units: , 1976-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-028.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Statistics education; Census; Economic statistics; Official statistics; Socioeconomic status; Descriptive statistics; Population; Population 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":[0.002666178,0.002484799,0.002896247,0.00901049,0.00354559,0.005262339,0.005761459,0.001525699,0.09426879],"category_scores_gemma":[0.02203414,0.001958262,0.002323412,0.04094902,0.0006508379,0.002552171,0.002658312,0.003311439,0.05089856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05479951,"about_ca_system_score_gemma":0.1525703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959253,"about_ca_topic_score_gemma":0.9940851,"domain_scores_codex":[0.9952302,0.0003634091,0.0005511359,0.0005937433,0.002119521,0.001142108],"domain_scores_gemma":[0.9628755,0.001511014,0.001101358,0.001166089,0.0314217,0.001924293],"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":[0.00002638889,0.000007439235,0.001130374,0.0002666511,0.00002424116,0.000006798034,0.00002954731,0.0001126862,0.00000946533,0.0003783313,0.9960663,0.001941799],"study_design_scores_gemma":[0.0001876071,0.00001525818,0.02875834,0.001062321,0.00008644174,0.00003091973,0.0006035371,0.0005317789,0.0001881626,0.0007089252,0.9677196,0.0001070389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005792765,0.00005305889,0.00003061191,0.0001204936,0.00003202588,0.00001993047,0.9987864,0.00006885085,0.0008308167],"genre_scores_gemma":[0.0009336424,0.0003382975,0.0005378739,0.0001803356,0.00002207319,0.0001827328,0.9932358,0.0001457832,0.004423412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09426879,"threshold_uncertainty_score":0.3976002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648259185893256,"score_gpt":0.2558117999531143,"score_spread":0.2393292080941817,"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."}}