{"id":"W6976723759","doi":"10.6068/dp14ba8ccbec05","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, Total, days lost (including maternity leave), Utilities, 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":[0.002384649,0.002509959,0.003044067,0.008295414,0.003042774,0.004360518,0.005768752,0.001512408,0.07826462],"category_scores_gemma":[0.0188846,0.001839362,0.002570276,0.03861313,0.0005895062,0.00219054,0.002275951,0.0034187,0.04561462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05044526,"about_ca_system_score_gemma":0.123717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954973,"about_ca_topic_score_gemma":0.9942755,"domain_scores_codex":[0.995823,0.0003059027,0.0005062692,0.0005099673,0.001852861,0.001001984],"domain_scores_gemma":[0.9667338,0.001236848,0.001161467,0.0008852801,0.02841829,0.00156438],"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":[0.00003139322,0.000009279587,0.001472969,0.0003068307,0.00003086265,0.000006696744,0.00002598344,0.0001294788,0.000008188895,0.0002746208,0.9959901,0.001713608],"study_design_scores_gemma":[0.0003272386,0.00002516944,0.05337225,0.001476545,0.0001376082,0.00003932365,0.0007060156,0.0007906641,0.0002183905,0.0008028342,0.9419752,0.0001287811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006847655,0.0000538381,0.00002406574,0.000102005,0.00002581102,0.00001638572,0.9991152,0.00005062394,0.0005436699],"genre_scores_gemma":[0.0009111892,0.0002720704,0.0003338314,0.0001578061,0.00002083502,0.0001452035,0.9947934,0.00008871294,0.00327705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07826462,"threshold_uncertainty_score":0.3660077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978022815291308,"score_gpt":0.2542622412266802,"score_spread":0.2244820130737671,"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."}}