{"id":"W6957528139","doi":"10.6068/dp14ba89fd9ee73","title":"Trend 2000 - 2003. Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1 and 2.1) immigrant profile, by sex | Variable: Activity limitation, Immigrants, 10 to 19 years since immigration, Both sexes | Units: , 2000-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-114.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Official statistics; Census; Health statistics; Immigration; Social statistics; Community health; General Social Survey; 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":[0.002938977,0.002525053,0.003013052,0.007554509,0.003514593,0.004603046,0.005983761,0.001717323,0.1186952],"category_scores_gemma":[0.02263979,0.001989948,0.002489462,0.03707146,0.0006267232,0.002455742,0.002472301,0.003274833,0.0632081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05236931,"about_ca_system_score_gemma":0.1297904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944607,"about_ca_topic_score_gemma":0.9925103,"domain_scores_codex":[0.9958419,0.0003864322,0.0005283746,0.0005418978,0.001799096,0.0009022255],"domain_scores_gemma":[0.9689351,0.00150534,0.0009438081,0.001118421,0.02579674,0.001700585],"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":[0.00002623829,0.000005732386,0.0007809656,0.0002738721,0.00002032996,0.000005728059,0.00002150284,0.00009484259,0.000007982568,0.0003002758,0.9967289,0.001733625],"study_design_scores_gemma":[0.000254712,0.000015734,0.02339028,0.001214907,0.00009250148,0.00003085897,0.0004937917,0.000558374,0.0001482583,0.0009317849,0.972758,0.0001107751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003824468,0.00004496125,0.00003019727,0.0001310782,0.00002973974,0.00002135084,0.9988294,0.00006640939,0.0008084975],"genre_scores_gemma":[0.0008002666,0.0003007955,0.0006081637,0.0002277791,0.00002014686,0.0002331854,0.993782,0.0001512659,0.003876339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1186952,"threshold_uncertainty_score":0.3970751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955589951215168,"score_gpt":0.2739290049398764,"score_spread":0.2443731054277248,"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."}}