{"id":"W6976120578","doi":"10.6068/dp14ba844dff191","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, Employment, Both sexes, Part-time 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; Population; Descriptive statistics; Population statistics; Summary 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":[0.002757348,0.002409362,0.002946671,0.008868597,0.003658977,0.005165729,0.005893153,0.001550143,0.09976184],"category_scores_gemma":[0.02313404,0.002007279,0.002371232,0.04071819,0.0006478254,0.002562328,0.002671581,0.003388656,0.05165021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05644431,"about_ca_system_score_gemma":0.1589503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960134,"about_ca_topic_score_gemma":0.9942316,"domain_scores_codex":[0.9949321,0.0003873585,0.0006147274,0.000613967,0.002280775,0.001171062],"domain_scores_gemma":[0.958222,0.001648566,0.001218371,0.001226531,0.03560446,0.002080087],"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":[0.00002721209,0.000007973893,0.001281935,0.0002935939,0.00002660878,0.000007029289,0.00003254578,0.0001145632,0.000009800107,0.0003805362,0.9957653,0.002052923],"study_design_scores_gemma":[0.0002027572,0.00001673454,0.03303543,0.001213951,0.00009772128,0.00003251226,0.000678022,0.0005435988,0.000192415,0.0007611634,0.9631111,0.0001145568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006235707,0.00005449441,0.00003377596,0.0001326095,0.00003391223,0.00002276618,0.9987209,0.00006746163,0.0008716698],"genre_scores_gemma":[0.001066071,0.00038082,0.0006036747,0.0002132327,0.00002461824,0.0002196055,0.9923047,0.0001598406,0.005027391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09976184,"threshold_uncertainty_score":0.409534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441841149794813,"score_gpt":0.2454057060549548,"score_spread":0.2309872945570066,"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."}}