{"id":"W6920038610","doi":"10.6068/dp14ba81099b711","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Employment by enterprise size of employment (SEPH) for all employees, for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Wholesale trade, 100 to 299 employees | Units: # Persons, 2001-2012. 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; Economic statistics; Official statistics; Summary statistics; Socioeconomic status; Private sector; Descriptive statistics; Statistical analysis","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":[0.00182693,0.00241579,0.002710093,0.007994803,0.003561661,0.005007682,0.005435511,0.001466558,0.07854218],"category_scores_gemma":[0.0155577,0.001675245,0.002068055,0.03601984,0.0005982649,0.002421073,0.002406111,0.003019251,0.05309005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04611951,"about_ca_system_score_gemma":0.1127838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943587,"about_ca_topic_score_gemma":0.9934108,"domain_scores_codex":[0.9964663,0.0002311724,0.0003550809,0.0005075259,0.001521797,0.0009181142],"domain_scores_gemma":[0.9702084,0.001097807,0.0009335043,0.0009026718,0.02525803,0.001599555],"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":[0.00002519669,0.000006522183,0.001080037,0.0002032301,0.00001998483,0.000006924881,0.00002291661,0.0001001386,0.000008816531,0.0002971806,0.9968755,0.001353533],"study_design_scores_gemma":[0.0001895158,0.00001391521,0.02885745,0.0008954248,0.00007312444,0.00003199601,0.000569085,0.0005828908,0.000221829,0.0006817541,0.9677768,0.0001062767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000526878,0.00003720342,0.00001888372,0.00009263891,0.0000186718,0.00001086182,0.9991117,0.00005665031,0.0006006114],"genre_scores_gemma":[0.0006493877,0.0001860997,0.0002752023,0.0001099973,0.00001398646,0.00009243,0.9957601,0.00008980768,0.002822956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07854218,"threshold_uncertainty_score":0.334622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966463788692251,"score_gpt":0.2812518167675753,"score_spread":0.2315871788806528,"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."}}