{"id":"W6939294075","doi":"10.6068/dp14ba875e5030","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - General | Country: Canada | Table: Self-rated health, by age group and sex, household population | Variable: All ages, Total population for the variable self-rated health, Females | Units: # Persons, 1994-1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-108.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Health statistics; Official statistics; Population; Population statistics; Summary statistics; Social 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":[0.00298588,0.002344509,0.002804543,0.008523871,0.003268974,0.0048298,0.005623534,0.001574679,0.1172444],"category_scores_gemma":[0.02391653,0.001950411,0.002293331,0.04061412,0.0006700331,0.002638598,0.002405639,0.003445717,0.06648465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0600891,"about_ca_system_score_gemma":0.1483814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944592,"about_ca_topic_score_gemma":0.9916686,"domain_scores_codex":[0.9951687,0.000381901,0.0005811338,0.0005960374,0.002205257,0.001066953],"domain_scores_gemma":[0.9578524,0.001776049,0.001181343,0.001315026,0.03582781,0.002047361],"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":[0.00002411872,0.000005305947,0.0007239579,0.0002587716,0.00001910998,0.000004950873,0.00001839453,0.00008082872,0.000007429186,0.0003333217,0.9968089,0.001714932],"study_design_scores_gemma":[0.0001895513,0.00001363817,0.0225332,0.001010279,0.00007828145,0.00002787006,0.0003996294,0.0004560459,0.0001490205,0.0007592586,0.9742908,0.00009241058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003897589,0.00005236083,0.0000293104,0.0001474882,0.00003277357,0.00002068332,0.9984978,0.00007888393,0.001101745],"genre_scores_gemma":[0.0009260754,0.0003485414,0.0005615043,0.0002255669,0.00002324352,0.0002069263,0.9929041,0.0001686321,0.004635467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1172444,"threshold_uncertainty_score":0.435979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106420786999816,"score_gpt":0.2699584806006792,"score_spread":0.228894272730681,"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."}}