{"id":"W6957522940","doi":"10.6068/dp14ba7becf6e94","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Health - Lifestyle and Social Conditions | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) indicator profile, by sex | Variable: 1 or more two-week disability days, Both sexes | 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":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Official statistics; Health statistics; Census; Economic statistics; Health indicator; Social statistics; General Social Survey; 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":[0.002924106,0.002482313,0.00276135,0.007420129,0.003615295,0.004828959,0.005525171,0.001808404,0.1372867],"category_scores_gemma":[0.02616815,0.001960704,0.002353917,0.04340039,0.000746561,0.002566189,0.002482495,0.003478383,0.07965838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0552829,"about_ca_system_score_gemma":0.1359491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941257,"about_ca_topic_score_gemma":0.9918434,"domain_scores_codex":[0.9949616,0.0003749263,0.0005816317,0.0005841702,0.002438166,0.001059469],"domain_scores_gemma":[0.9564193,0.00213059,0.001090686,0.001314938,0.03689588,0.002148676],"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":[0.00001727228,0.000005651576,0.0005793913,0.0002311969,0.00001246772,0.000004488558,0.00001587088,0.00007882201,0.000006470333,0.0002071519,0.9975599,0.001281464],"study_design_scores_gemma":[0.0002184177,0.00001331273,0.02284137,0.001012367,0.00007237458,0.00002442553,0.0004310231,0.0003728421,0.000135942,0.0006950209,0.974085,0.00009784308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000029159,0.00003972281,0.00001780712,0.0001100086,0.00002260212,0.00001474478,0.9989507,0.0000482949,0.0007668406],"genre_scores_gemma":[0.0006707991,0.0002761024,0.000454034,0.0002231955,0.00001889095,0.0001683002,0.9942619,0.0001232439,0.003803562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1372867,"threshold_uncertainty_score":0.4592696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06751640591998992,"score_gpt":0.2722324409283017,"score_spread":0.2047160350083118,"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."}}