{"id":"W6920474503","doi":"10.6068/dp14ba8ece04f0","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: Total population for the variable pain or discomfort by severity, Immigrants, 20 or more 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; Population; Economic statistics; Health statistics; Community health; Social statistics; Immigration","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":[0.002794071,0.002508576,0.003017063,0.00755547,0.003356413,0.004643684,0.006096852,0.001756071,0.1185954],"category_scores_gemma":[0.02276305,0.001949894,0.002433165,0.03699659,0.0006426772,0.002441774,0.002439161,0.003271788,0.06319444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05126288,"about_ca_system_score_gemma":0.124464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937502,"about_ca_topic_score_gemma":0.9918786,"domain_scores_codex":[0.9959604,0.000369469,0.0005243406,0.0005342555,0.00174724,0.0008643349],"domain_scores_gemma":[0.9691723,0.001593078,0.001009133,0.001138979,0.02542816,0.001658371],"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":[0.00002298285,0.000005389687,0.0007451258,0.0002476516,0.000019025,0.000005051109,0.00001882823,0.00009265766,0.000006518525,0.0002778003,0.9971091,0.001449975],"study_design_scores_gemma":[0.0002723284,0.00001538878,0.02292505,0.001189193,0.00009000739,0.00003094146,0.0004743798,0.0005812123,0.0001401975,0.0009270911,0.9732493,0.0001049615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000357327,0.00003957524,0.00002441466,0.0001215933,0.00002630681,0.00001828267,0.9989529,0.00005741866,0.000723856],"genre_scores_gemma":[0.0007198023,0.0002654634,0.0004706473,0.0002065325,0.00001992003,0.0002113113,0.9944074,0.0001294611,0.003569576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1185954,"threshold_uncertainty_score":0.3967413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577937446225308,"score_gpt":0.2755844121498537,"score_spread":0.2498050376876007,"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."}}