{"id":"W6920300782","doi":"10.6068/dp14ba89edc1065","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), employees by establishment size, North American Industry Classification System (NAICS), sex and age group | Variable: 25 to 44 years, 100 to 500 employees, Accommodation and food services, Both sexes | Units: # Persons x 1,000, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Official statistics; Economic statistics; Summary statistics; Socioeconomic status; Social statistics; Private sector; Statistical analysis; Descriptive 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":[0.002079207,0.002220878,0.002741716,0.007732519,0.003149834,0.004566224,0.00500359,0.001392415,0.08925481],"category_scores_gemma":[0.01641729,0.001710798,0.001988758,0.03588987,0.0005555091,0.002141656,0.002339656,0.002925964,0.05455514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04481895,"about_ca_system_score_gemma":0.1170602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942898,"about_ca_topic_score_gemma":0.9927393,"domain_scores_codex":[0.9962621,0.0002672153,0.000413101,0.0004937556,0.001611709,0.0009520357],"domain_scores_gemma":[0.971711,0.00120638,0.0009334604,0.0008507232,0.02368382,0.001614686],"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":[0.00002461281,0.000006779377,0.0009686738,0.0002251799,0.00001942458,0.000006198956,0.0000228723,0.00009689912,0.000007692627,0.0002820736,0.9967013,0.001638241],"study_design_scores_gemma":[0.0001949891,0.00001456604,0.02887228,0.001025046,0.00007525169,0.0000302651,0.0006024583,0.0005532532,0.0001814499,0.000657561,0.9676968,0.00009599965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000577738,0.00004424376,0.00002267909,0.0001002595,0.00002323381,0.00001311007,0.998979,0.00005679354,0.000703103],"genre_scores_gemma":[0.0007554421,0.00024916,0.0003373747,0.0001432327,0.00001598703,0.0001212599,0.99426,0.00009971902,0.004017985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08925481,"threshold_uncertainty_score":0.3251858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475475462314725,"score_gpt":0.2528076361083433,"score_spread":0.2280528814851961,"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."}}