{"id":"W6957801900","doi":"10.6068/dp14ba8d81f827","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Latin America, Participation rate, Both sexes, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Descriptive statistics; Socioeconomic status; Population; Summary statistics; Ethnic group; Diversity (politics)","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":[0.002793079,0.0025186,0.002995229,0.007859454,0.00331765,0.004778888,0.005694508,0.001452191,0.08976352],"category_scores_gemma":[0.01912727,0.001983325,0.002536828,0.03755813,0.0005963435,0.002395224,0.002482336,0.003371728,0.04910173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05215985,"about_ca_system_score_gemma":0.1432897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948239,"about_ca_topic_score_gemma":0.9931353,"domain_scores_codex":[0.9951186,0.000376157,0.0005655786,0.0005621931,0.002217627,0.00115987],"domain_scores_gemma":[0.9610148,0.001253613,0.001145162,0.00101706,0.03364441,0.001924931],"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":[0.0000340851,0.000009493649,0.001361531,0.0002584181,0.00002656194,0.000007109079,0.00002643795,0.00009923753,0.00001056392,0.0003187428,0.9959081,0.001939664],"study_design_scores_gemma":[0.0002531364,0.00002140648,0.04213142,0.001246723,0.0001100719,0.00003596685,0.0006877705,0.0005445974,0.000225961,0.0007887569,0.9538329,0.0001212606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007789461,0.00005826014,0.00002956887,0.0001519561,0.00004182277,0.00002487129,0.9985523,0.00006114268,0.001002171],"genre_scores_gemma":[0.001026247,0.000332127,0.0005214313,0.0002461778,0.00002743007,0.0002123477,0.9913303,0.0001402743,0.006163785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08976352,"threshold_uncertainty_score":0.378448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597413373996389,"score_gpt":0.2485835479025684,"score_spread":0.2326094141626045,"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."}}