{"id":"W6939092986","doi":"10.6068/dp14ba8debf867","title":"Most Recent Data (2000). 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: Some excess weight, body mass index (Canadian standard) 25.0 to 27.0 (20 to 64 years), Total population, Males | Units: , 2000. 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; Economic statistics; Community health; General Social Survey; 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":[0.002853227,0.002606331,0.003052124,0.007455588,0.003654186,0.004801353,0.005756774,0.001863479,0.1335825],"category_scores_gemma":[0.02630924,0.001908962,0.002294832,0.04361127,0.0007424049,0.002489196,0.00250368,0.003318246,0.07899733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05388343,"about_ca_system_score_gemma":0.1283333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932944,"about_ca_topic_score_gemma":0.9911352,"domain_scores_codex":[0.9952669,0.0003616161,0.0006011616,0.0005919092,0.002188409,0.0009899735],"domain_scores_gemma":[0.960695,0.002222231,0.001070461,0.001310476,0.0327492,0.001952684],"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":[0.0000159854,0.000005039147,0.000508982,0.0002185276,0.00001209931,0.000003812072,0.00001342894,0.00007082714,0.000005415365,0.000177032,0.9979432,0.001025624],"study_design_scores_gemma":[0.0002634526,0.00001305422,0.02149447,0.001040501,0.00008022202,0.00002377295,0.0004039239,0.0003725263,0.0001332958,0.0006965806,0.9753803,0.00009787765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002399002,0.00003298068,0.00001326076,0.00009524355,0.00001933974,0.00001230346,0.9991593,0.00003979941,0.0006037844],"genre_scores_gemma":[0.0005234058,0.0002323567,0.0003272802,0.0001893096,0.00001657237,0.0001498441,0.9955245,0.00008972575,0.002946957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1335825,"threshold_uncertainty_score":0.4468779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701315274193547,"score_gpt":0.2757100996175242,"score_spread":0.2486969468755887,"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."}}