{"id":"W6920117406","doi":"10.6068/dp14ba86f457d89","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Employment and Unemployment | 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: Automotive equipment rental and leasing, Compensation of employees | Units: $CAD x 1,000, 2007-2012. 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; Economic statistics; Official statistics; Census; Summary statistics; Descriptive statistics; National accounts; Wages and salaries; Social statistics; Socioeconomic status","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":[0.001978502,0.002443053,0.002770968,0.00898258,0.003568411,0.005176655,0.005057752,0.001463,0.08281829],"category_scores_gemma":[0.0172066,0.001820738,0.001960334,0.04146079,0.0006107233,0.002435852,0.002308974,0.002916445,0.05305704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05574998,"about_ca_system_score_gemma":0.1375325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953783,"about_ca_topic_score_gemma":0.993932,"domain_scores_codex":[0.9957314,0.000271779,0.00042807,0.0005672377,0.001958541,0.001042987],"domain_scores_gemma":[0.9681517,0.001195912,0.001025968,0.0009046033,0.02712867,0.001592989],"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":[0.00002206118,0.000006019883,0.0008886716,0.0001946585,0.00001759666,0.000006674902,0.00002202713,0.00009744829,0.000007830022,0.0003488302,0.9969646,0.001423585],"study_design_scores_gemma":[0.0001458886,0.00001215955,0.02575814,0.0008347414,0.00006403978,0.00002809847,0.0005438112,0.0005541123,0.0001988471,0.000620797,0.971142,0.00009731935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005807897,0.00004705464,0.00002033881,0.0001049479,0.0000229138,0.00001146543,0.9988906,0.00005829394,0.0007863073],"genre_scores_gemma":[0.0008188871,0.0002548377,0.000331117,0.0001290716,0.00001674319,0.0001031879,0.9941196,0.0001025535,0.004123892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08281829,"threshold_uncertainty_score":0.4044963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241399285517893,"score_gpt":0.2456551510390469,"score_spread":0.2215152224872576,"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."}}