{"id":"W6976233522","doi":"10.6068/dp14ba8eb839058","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Absence rates of full-time employees, by sex and workplace size | Variable: Days lost per worker in a year, personal or family responsibility, Females, Workplace with 100 to 500 employees | Units: %, 1997-2012. 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; Official statistics; Economic statistics; Work (physics); Socioeconomic status; Turnover; Summary statistics; 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":[0.002301353,0.002643339,0.002854922,0.008553064,0.003228669,0.004588383,0.005994877,0.001572743,0.07837581],"category_scores_gemma":[0.0185234,0.001779093,0.002482551,0.0380847,0.0006133137,0.002397983,0.002438678,0.003249483,0.04485804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05162264,"about_ca_system_score_gemma":0.1276005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957195,"about_ca_topic_score_gemma":0.9943258,"domain_scores_codex":[0.9959952,0.0002697735,0.0004431162,0.0005067014,0.001788045,0.0009970893],"domain_scores_gemma":[0.9676055,0.001179518,0.001087611,0.000892126,0.0276167,0.001618518],"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":[0.00002677601,0.000007766209,0.001421453,0.0002936789,0.00002759335,0.000007205195,0.00002772114,0.0001257003,0.000008588051,0.0003254429,0.9959642,0.001764025],"study_design_scores_gemma":[0.0002233482,0.00001822111,0.03826294,0.00127262,0.0001079016,0.00003758542,0.0006606777,0.0006668509,0.0002021929,0.0007728442,0.9576545,0.0001203073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005868171,0.0000537528,0.00002408853,0.0001135624,0.00002174193,0.00001434657,0.9990708,0.00005353441,0.0005895438],"genre_scores_gemma":[0.0009268906,0.0003074792,0.0003772296,0.0001557402,0.00001805925,0.000138054,0.9948555,0.0001001656,0.003120802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07837581,"threshold_uncertainty_score":0.3745502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203831524995169,"score_gpt":0.2599279552337846,"score_spread":0.2378896399838329,"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."}}