{"id":"W6958085631","doi":"10.6068/dp14ba85bc8b376","title":"Trend 1994 - 1998. Statistics Canada. CANSIM: Health - General | Country: Canada | Table: Functional health status, by age group and sex, household population aged 4 years and over | Variable: 35-44 years, Very good or perfect functional health, Both sexes | 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; Health statistics; Official statistics; Population; Summary statistics; Economic statistics; Socioeconomic status; Population 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":[0.002808896,0.002333742,0.002881236,0.008597378,0.003427172,0.004897296,0.005671271,0.001594985,0.1192356],"category_scores_gemma":[0.0234727,0.002021002,0.002337607,0.03981434,0.0006808765,0.002595471,0.002414446,0.00336286,0.06202972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06538761,"about_ca_system_score_gemma":0.155467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953885,"about_ca_topic_score_gemma":0.9928164,"domain_scores_codex":[0.9949654,0.0003736609,0.0006292558,0.0006110927,0.002270249,0.001150331],"domain_scores_gemma":[0.9578888,0.001700717,0.001196636,0.001200141,0.0359419,0.002071799],"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":[0.00002697222,0.000005831006,0.0008618392,0.0002736038,0.00002060046,0.000005355089,0.00001963587,0.00008657137,0.000007779091,0.0003857075,0.9965056,0.001800576],"study_design_scores_gemma":[0.0002172469,0.00001529642,0.02655864,0.001077829,0.00008843891,0.00003229592,0.0004346569,0.0004900787,0.000166485,0.0007760086,0.9700406,0.0001024792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004751095,0.00005914102,0.00003269696,0.0001602798,0.00003643153,0.00002454192,0.9981855,0.0000788591,0.001375043],"genre_scores_gemma":[0.001133247,0.0004093551,0.0006208546,0.0002496782,0.00002582669,0.0002309763,0.9916704,0.0001809352,0.005478814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1192356,"threshold_uncertainty_score":0.4744226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460772951407335,"score_gpt":0.2524282562111624,"score_spread":0.217820526697089,"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."}}