{"id":"W6938863950","doi":"10.6068/dp14ba8bb6fea76","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: 25 to 44 years, Other personal (including maternity leave), Trade, Both sexes | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Summary statistics; Socioeconomic status; Work (physics); 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":[0.002441205,0.00256442,0.003066309,0.00892857,0.003108377,0.004505772,0.005689237,0.001513303,0.09111761],"category_scores_gemma":[0.01928256,0.001853995,0.002566852,0.03997711,0.0005860812,0.002380795,0.00243249,0.003332217,0.05394671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04847569,"about_ca_system_score_gemma":0.1226308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953046,"about_ca_topic_score_gemma":0.9939175,"domain_scores_codex":[0.9955897,0.0003211679,0.0005152095,0.0005274925,0.001981178,0.001065237],"domain_scores_gemma":[0.965784,0.00128122,0.001180146,0.0009544556,0.02914151,0.001658569],"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":[0.00003058549,0.000009092788,0.001332201,0.0002874722,0.00002828979,0.000006212474,0.00002624404,0.0001205632,0.000007746612,0.0002774022,0.9961436,0.001730533],"study_design_scores_gemma":[0.0002917195,0.00002291274,0.04644339,0.001234139,0.0001185476,0.00003472258,0.0006271418,0.0006804438,0.0001945479,0.0007197245,0.9495166,0.0001161064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006472671,0.00005093683,0.00002470463,0.00009513612,0.00002540489,0.0000163722,0.999034,0.00005752078,0.0006312453],"genre_scores_gemma":[0.0008353723,0.0002548825,0.0003191348,0.000142647,0.00002000982,0.0001356284,0.9945107,0.0000984779,0.003683126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09111761,"threshold_uncertainty_score":0.3517174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128762345027831,"score_gpt":0.25677453265524,"score_spread":0.2254869092049617,"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."}}