{"id":"W6976692757","doi":"10.6068/dp14ba813dd7919","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Seniors - Housing and Living Arrangements | Country: Canada | Table: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category | Variable: Technicians, Provincial government | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-184.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Distribution (mathematics); Population; Government (linguistics); Economic statistics; Summary 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":[0.002264131,0.002371938,0.002708728,0.008539025,0.00362716,0.004892818,0.005086568,0.001427401,0.09974905],"category_scores_gemma":[0.01820824,0.001902315,0.002283315,0.03829734,0.0006024945,0.002541938,0.002569724,0.003068433,0.0537632],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05841157,"about_ca_system_score_gemma":0.1441552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954195,"about_ca_topic_score_gemma":0.9940372,"domain_scores_codex":[0.9955064,0.00027744,0.0004925207,0.0005350781,0.002132358,0.001056203],"domain_scores_gemma":[0.9632773,0.001089853,0.001046217,0.0009734072,0.03171147,0.001901757],"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":[0.00002596025,0.000007125356,0.001371456,0.0002608024,0.00002159921,0.000007353067,0.00002966295,0.00009933706,0.000008779873,0.0003919436,0.9958038,0.001972127],"study_design_scores_gemma":[0.0001684528,0.00001718459,0.03854327,0.001096829,0.00008031925,0.00003449885,0.0007001619,0.0005158649,0.0001858969,0.0007140533,0.9578393,0.0001041747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007488726,0.00005930084,0.00003115074,0.0001407048,0.00003450902,0.0000205108,0.9984052,0.00006286601,0.001170856],"genre_scores_gemma":[0.00117861,0.0003666771,0.0005008375,0.0002038519,0.00002425813,0.0001805554,0.9911284,0.0001400198,0.006276777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9415884,"threshold_uncertainty_score":0.4238076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364301479666372,"score_gpt":0.2425328439548979,"score_spread":0.2061026959882607,"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."}}