{"id":"W6976519378","doi":"10.6068/dp14ba8bf987f14","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Absence rates of full-time employees, by sex and National Occupational Classification for Statistics | Variable: Inactivity rate, personal or family responsibility, Health occupations, Females | Units: , 1987-2012. 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; Socioeconomic status; Work (physics); Summary statistics; Population statistics; Turnover; 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":[0.002607161,0.002619831,0.002931966,0.009211572,0.00321757,0.00425959,0.006150362,0.00155402,0.07853117],"category_scores_gemma":[0.02006283,0.001850665,0.002553916,0.03901148,0.0006008195,0.002327417,0.002393134,0.003305271,0.04088966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05657165,"about_ca_system_score_gemma":0.1412794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958557,"about_ca_topic_score_gemma":0.9944247,"domain_scores_codex":[0.9954478,0.000324948,0.0005123971,0.0005380379,0.002085186,0.001091516],"domain_scores_gemma":[0.9651343,0.001245322,0.00118978,0.0009134208,0.02973823,0.001779098],"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":[0.00003152502,0.000008720594,0.00161109,0.0003466452,0.00003077214,0.000007821557,0.00003112689,0.0001404358,0.000009514109,0.0003651706,0.9953665,0.00205073],"study_design_scores_gemma":[0.0002481531,0.00002189103,0.04834651,0.001508191,0.0001250711,0.00004063586,0.0006893282,0.0006833135,0.0002008875,0.0008459889,0.9471615,0.0001284048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006530223,0.00006135186,0.00002853409,0.0001186554,0.0000241387,0.0000180272,0.9990067,0.00005259351,0.0006245759],"genre_scores_gemma":[0.001131484,0.0003832137,0.0005061606,0.0001798924,0.00002248806,0.0001842532,0.9936819,0.0001103147,0.003800387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07853117,"threshold_uncertainty_score":0.410458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937751487607917,"score_gpt":0.3191246072181641,"score_spread":0.2597470923420849,"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."}}