{"id":"W6976869721","doi":"10.6068/dp14ba842d50999","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Industries | Country: Canada | Table: Labour force survey estimates (LFS), employees by establishment size, North American Industry Classification System (NAICS), sex and age group | Variable: 45 years and over, More than 500 employees, Educational services, Males | Units: # Persons x 1,000, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-139.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Organizational Management and Change","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Summary statistics; Wages and salaries; Socioeconomic status; Statistical analysis; 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":[0.002416885,0.002382307,0.002795313,0.008279637,0.003432134,0.004886131,0.005259156,0.001484863,0.1124286],"category_scores_gemma":[0.01863218,0.001847162,0.002095624,0.03940534,0.0005728269,0.002507581,0.002421033,0.003024939,0.07119686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04659478,"about_ca_system_score_gemma":0.1243623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937966,"about_ca_topic_score_gemma":0.9913093,"domain_scores_codex":[0.9957332,0.0003096156,0.0004709015,0.0005577747,0.001911625,0.001016887],"domain_scores_gemma":[0.9662601,0.00128721,0.000910182,0.001044409,0.02886847,0.001629639],"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":[0.00002159369,0.000005795667,0.0007704367,0.0002105293,0.00001694612,0.000005700462,0.00001981456,0.00007547381,0.000007647524,0.0002883833,0.9967431,0.001834561],"study_design_scores_gemma":[0.000159268,0.00001222167,0.0208512,0.0008928293,0.00006811725,0.00002615599,0.0004610903,0.0004024826,0.0001504085,0.0006747397,0.9762187,0.0000827938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004753538,0.0000487324,0.0000284806,0.0001204351,0.00003131463,0.00001570934,0.9987271,0.00006765217,0.0009130239],"genre_scores_gemma":[0.000652562,0.0002741473,0.0004144747,0.0001741649,0.0000188162,0.0001353157,0.9932711,0.0001338405,0.004925742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1124286,"threshold_uncertainty_score":0.3761113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041420839975999,"score_gpt":0.2276477459740678,"score_spread":0.2072335375743078,"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."}}