{"id":"W6976861787","doi":"10.6068/dp14ba8441ea518","title":"Trend 1998 - 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: 55 to 64 years, Other services, Casual job, Both sexes | Units: # Persons x 1,000, 1998-2013. 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":"Casual; Unemployment; Census; Official statistics; Economic statistics; Summary statistics; Socioeconomic status; Private sector; Discouraged worker; 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":[0.002300363,0.002357461,0.00277124,0.008260711,0.003440255,0.00485421,0.005409834,0.001412408,0.09043565],"category_scores_gemma":[0.01800941,0.001826137,0.002173504,0.03735864,0.0005713772,0.002267586,0.002392214,0.002985512,0.05159679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05101822,"about_ca_system_score_gemma":0.1329517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955654,"about_ca_topic_score_gemma":0.9940085,"domain_scores_codex":[0.9959054,0.0002898931,0.0004563482,0.0005198491,0.001846519,0.000981988],"domain_scores_gemma":[0.9694187,0.001222462,0.0009707781,0.0009088083,0.02584075,0.001638508],"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":[0.00002772041,0.000006847157,0.0009993719,0.0002477113,0.00002191797,0.000006929435,0.00002592322,0.00009932884,0.000008737358,0.0003352851,0.9963416,0.001878702],"study_design_scores_gemma":[0.000198006,0.00001489517,0.02821741,0.001045447,0.00008542102,0.00003138035,0.0005835617,0.0005412163,0.0001864763,0.0006845273,0.968311,0.0001007424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006016878,0.00005613741,0.00002697356,0.000119891,0.00002891581,0.00001627397,0.9987555,0.0000681676,0.0008679806],"genre_scores_gemma":[0.0009008302,0.0003209301,0.0004496001,0.0001773119,0.0000198217,0.000147374,0.9931452,0.0001258674,0.004713004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09043565,"threshold_uncertainty_score":0.3701649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536107717120197,"score_gpt":0.2568810582544061,"score_spread":0.2315199810832041,"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."}}