{"id":"W6920428071","doi":"10.6068/dp14ba858277c32","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour force survey estimates (LFS), job tenure by North American Industry Classification System (NAICS) and sex | Variable: Health care and social assistance, 241 months or more, Males | Units: # Months x 1,000, 1987-2013. 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; Socioeconomic status; Summary statistics; Discouraged worker; Wages and salaries; Social 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":[0.00226688,0.002229305,0.002779784,0.008018469,0.003486898,0.004608347,0.005363136,0.001435707,0.08987413],"category_scores_gemma":[0.01786109,0.001796224,0.002158678,0.03744019,0.0005812617,0.002272344,0.002386157,0.003109784,0.05084851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05248555,"about_ca_system_score_gemma":0.1418281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955364,"about_ca_topic_score_gemma":0.9942157,"domain_scores_codex":[0.9957308,0.0002992032,0.0004844801,0.0005163137,0.001917004,0.001052128],"domain_scores_gemma":[0.9688223,0.001165516,0.001004764,0.0008718551,0.02641494,0.001720696],"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":[0.00002644063,0.000007453223,0.001110266,0.0002534934,0.00002252078,0.000006462449,0.00002485152,0.0001013707,0.000008151851,0.0003290767,0.9963472,0.001762694],"study_design_scores_gemma":[0.0002169865,0.00001739773,0.03495593,0.00116418,0.00009366722,0.00003320919,0.0006311137,0.0005610575,0.0001984975,0.0007481638,0.9612737,0.0001061431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006315609,0.00005322301,0.00002528048,0.0001239156,0.00002720676,0.00001673207,0.9988361,0.00005898502,0.0007954063],"genre_scores_gemma":[0.0009490578,0.0003243938,0.0004334547,0.0001846272,0.00002118668,0.0001550309,0.9930555,0.0001198566,0.004756854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08987413,"threshold_uncertainty_score":0.3808111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934112505058869,"score_gpt":0.274421923947819,"score_spread":0.2450807988972303,"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."}}