{"id":"W6976903724","doi":"10.6068/dp14ba88dbeef22","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Data processing, hosting, and related services, Total number of jobs | Units: , 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Official statistics; Summary statistics; Wages and salaries; National accounts; Socioeconomic status; Statistics education; 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":[0.002041501,0.002608404,0.002840515,0.009023542,0.003252731,0.005252146,0.005051711,0.001491108,0.08897505],"category_scores_gemma":[0.01900514,0.001845498,0.001999861,0.04569647,0.0006491022,0.002683802,0.002196852,0.003249724,0.06298915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05460353,"about_ca_system_score_gemma":0.1399986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941498,"about_ca_topic_score_gemma":0.9922821,"domain_scores_codex":[0.9951445,0.0002970527,0.0004532724,0.0006039221,0.002384757,0.001116424],"domain_scores_gemma":[0.9605365,0.001251695,0.00112941,0.001054264,0.03446672,0.001561463],"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":[0.00002127651,0.00000638852,0.0008176132,0.000163216,0.00001711404,0.000004992215,0.0000150712,0.00009651967,0.000007940154,0.0002882491,0.9973012,0.001260506],"study_design_scores_gemma":[0.0001538624,0.00001173351,0.02364122,0.0007109213,0.00005807231,0.00002232804,0.000411947,0.0005193885,0.0002162607,0.000636944,0.9735259,0.00009127861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005494583,0.00004111259,0.0000205686,0.0001104737,0.00002752955,0.00001229644,0.9988232,0.00006549754,0.0008443176],"genre_scores_gemma":[0.000707119,0.0002102242,0.0003240558,0.0001312007,0.00001888817,0.00009095942,0.9943755,0.0001155427,0.004026548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08897505,"threshold_uncertainty_score":0.3961782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854798299744167,"score_gpt":0.2193817986643521,"score_spread":0.2095270003646079,"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."}}