{"id":"W6920282305","doi":"10.6068/dp14ba8a0a25b58","title":"Most Recent Data (2008). 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: 25 years and over, Own illness or disability, Agriculture, Females | Units: # Days, 2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Summary statistics; Work (physics); Socioeconomic status; Turnover; Population statistics; 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":[0.002394617,0.002388325,0.002725302,0.007722599,0.003304382,0.004499116,0.005403798,0.001600586,0.10198],"category_scores_gemma":[0.02173838,0.001667975,0.002154134,0.04149846,0.0006610413,0.002201999,0.002394963,0.003155084,0.0603651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04903742,"about_ca_system_score_gemma":0.1217306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944776,"about_ca_topic_score_gemma":0.992907,"domain_scores_codex":[0.9954256,0.0003174065,0.0005225659,0.0005517151,0.002091416,0.001091199],"domain_scores_gemma":[0.9587013,0.001869578,0.001183433,0.001195799,0.03511289,0.001937053],"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":[0.00001889914,0.0000066081,0.0007405911,0.0002033383,0.00001419498,0.000004498621,0.00001780532,0.0000852705,0.000006096091,0.0001983805,0.9975895,0.001114774],"study_design_scores_gemma":[0.0002234474,0.00001407946,0.02907438,0.0009451041,0.00007841093,0.00002491052,0.0005132508,0.0004022335,0.0001525381,0.0005676089,0.967908,0.00009608922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003998056,0.00003431234,0.00001369074,0.00008304216,0.00001630954,0.00001004036,0.9992468,0.00003904983,0.0005167422],"genre_scores_gemma":[0.0005920212,0.000190285,0.0002684091,0.0001315217,0.00001339589,0.000105204,0.9957781,0.00007124081,0.002849906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.10198,"threshold_uncertainty_score":0.3557931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953499215107635,"score_gpt":0.2589059244732344,"score_spread":0.229370932322158,"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."}}