{"id":"W6938985367","doi":"10.6068/dp14ba8966f4657","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), employees by job permanency, North American Industry Classification System (NAICS), sex and age group | Variable: 25 to 54 years, Accommodation and food services, Term or contract job, Females | 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; Accommodation; 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":[0.002082266,0.002213211,0.00273471,0.007727344,0.003206299,0.004604873,0.005018006,0.001398072,0.09007333],"category_scores_gemma":[0.01635118,0.001710534,0.002027447,0.03579523,0.000554731,0.002134367,0.002353601,0.002938741,0.05429428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04556852,"about_ca_system_score_gemma":0.1197293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945852,"about_ca_topic_score_gemma":0.9931239,"domain_scores_codex":[0.9962389,0.0002656715,0.0004140928,0.0004922126,0.00162194,0.0009671743],"domain_scores_gemma":[0.9719585,0.001191304,0.0009252489,0.0008377018,0.02344345,0.001643858],"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":[0.00002499508,0.00000688834,0.0009952463,0.0002257645,0.00001962696,0.000006161385,0.00002339229,0.00009723446,0.000007749704,0.0002836965,0.9966761,0.001633031],"study_design_scores_gemma":[0.000198402,0.00001505773,0.02978208,0.001036184,0.00007721188,0.00003026174,0.0006313163,0.0005608482,0.0001839106,0.0006588955,0.9667277,0.00009814776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005991439,0.00004433042,0.00002255743,0.0001014533,0.00002376931,0.00001327794,0.9989558,0.00005713665,0.0007218228],"genre_scores_gemma":[0.0007807502,0.0002506471,0.0003384158,0.0001457819,0.00001626775,0.0001229996,0.9940935,0.00010165,0.004149961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09007333,"threshold_uncertainty_score":0.3306243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350822604602685,"score_gpt":0.2660697092323572,"score_spread":0.2309874487720887,"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."}}