{"id":"W6976507711","doi":"10.6068/dp14ba8614e5395","title":"Trend 2001 - 2004. Statistics Canada. CANSIM: Seniors - Housing and Living Arrangements | Country: Canada | Table: Federal personnel engaged in science and technological activities, by major departments and agencies | Variable: Agriculture and Agri-Food Canada, Research and development | Units: #, 2001-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-184.","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; Official statistics; Population; Population statistics; Socioeconomic status; Publication; 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":[0.002422919,0.002528482,0.002765971,0.00849311,0.003651807,0.00507935,0.005495982,0.001615505,0.1022414],"category_scores_gemma":[0.01894245,0.001921531,0.002249516,0.03780592,0.0006286576,0.002536919,0.002509797,0.003244915,0.05503472],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05627855,"about_ca_system_score_gemma":0.1377168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994817,"about_ca_topic_score_gemma":0.9929376,"domain_scores_codex":[0.9954295,0.0002911678,0.0004919278,0.0005461058,0.002190316,0.001050953],"domain_scores_gemma":[0.9627713,0.001206709,0.001069297,0.001080292,0.03197605,0.001896253],"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":[0.00002369088,0.000006746531,0.001093108,0.0002224887,0.00001945427,0.000006545707,0.00002348314,0.00009499089,0.000007387227,0.00035141,0.9964013,0.001749372],"study_design_scores_gemma":[0.0001531039,0.00001467893,0.02900274,0.000983468,0.0000729079,0.00002915497,0.0005631476,0.0004676753,0.0001628887,0.0006683897,0.967788,0.00009399059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006212404,0.00005325572,0.00002819618,0.0001416176,0.00003549199,0.00001768512,0.998584,0.00005943405,0.001018105],"genre_scores_gemma":[0.000978888,0.0003321708,0.0004526222,0.0002027203,0.00002287177,0.0001644484,0.9919159,0.0001258221,0.005804598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9437215,"threshold_uncertainty_score":0.4083313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262286716630707,"score_gpt":0.2637358974936084,"score_spread":0.2111130303273014,"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."}}