{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005280736,0.0004879544,0.0007128905,0.00004006797,0.0001611935,0.0001595751,0.0007547928,0.0003470719,0.0000569252],"category_scores_gemma":[0.00003547364,0.0004002358,1.909631e-7,0.0001912799,0.0006886423,0.00005911109,0.0005724253,0.0004530569,4.486217e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008827146,"about_ca_system_score_gemma":0.006946893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859464,"about_ca_topic_score_gemma":0.9815468,"domain_scores_codex":[0.9970043,0.0002858488,0.0006540549,0.0009481021,0.0007351062,0.0003726437],"domain_scores_gemma":[0.9965216,0.0001453556,0.001456348,0.001322426,0.0002820052,0.0002722756],"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":[0.00008110919,0.00002265688,0.006193175,0.002148978,0.0005601093,0.00002615044,0.000004199178,0.00001888999,0.00001541022,0.000122666,0.9907387,0.00006796901],"study_design_scores_gemma":[0.0004898586,0.00006175262,0.0006116068,0.0001057592,0.0006353806,0.0003180432,0.0009969597,0.004706363,1.2296e-7,2.265726e-8,0.9916402,0.0004340067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003326124,0.007495381,0.00001259439,0.000003031389,0.00009417056,0.0003940847,0.9914108,0.00001495092,0.0002424105],"genre_scores_gemma":[0.003606657,0.0004416691,0.0002294806,0.00006728346,0.0001054752,0.00001006907,0.9938684,0.0001184393,0.001552526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007053712,"threshold_uncertainty_score":0.999845,"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."}}