{"id":"W6939345750","doi":"10.6068/dp14ba88ea36319","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Labour force survey estimates (LFS), average days lost for personal reasons per full-time employee by North American Industry Classification System (NAICS), sex and age group | Variable: 45 years and over, Own illness or disability, Trade, Females | Units: # Days, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Summary statistics; Work (physics); Socioeconomic status; Turnover; Social statistics; General Social Survey","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":[0.002148282,0.00238402,0.00274456,0.008492046,0.003079876,0.004224208,0.005592584,0.001534471,0.08256435],"category_scores_gemma":[0.01942844,0.001651765,0.002317975,0.03917766,0.0005819977,0.002068581,0.002300433,0.003091878,0.04673541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04777599,"about_ca_system_score_gemma":0.1185514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946721,"about_ca_topic_score_gemma":0.9934727,"domain_scores_codex":[0.9961052,0.0002944578,0.000468748,0.0004814036,0.001690359,0.0009597847],"domain_scores_gemma":[0.9681069,0.001325312,0.001118697,0.0009582722,0.02688156,0.001609169],"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":[0.00002498018,0.000007131214,0.001054345,0.0002570831,0.00002346993,0.000006169533,0.00002369873,0.000117057,0.00000722663,0.0003190511,0.9966833,0.001476458],"study_design_scores_gemma":[0.0002393773,0.00001665712,0.03321505,0.001198576,0.0001011479,0.00003328578,0.0005911096,0.0006084646,0.0001823391,0.0008027755,0.9629055,0.0001057252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005091841,0.00004539696,0.0000204602,0.00008969263,0.00001955363,0.00001237964,0.9992054,0.00004536918,0.0005107475],"genre_scores_gemma":[0.000740751,0.0002345437,0.0003047769,0.0001208454,0.00001519721,0.0001161174,0.9956661,0.00007702771,0.002724595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08256435,"threshold_uncertainty_score":0.3466406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248734062532219,"score_gpt":0.2389563858048088,"score_spread":0.2140829795515869,"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."}}