{"id":"W6938524867","doi":"10.6068/dp14ba8d9ef5d95","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: Total days lost per worker in a year, Professional occupations in business and finance, 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; 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":[0.002441608,0.002625546,0.002870794,0.009347404,0.003367767,0.004486979,0.006077271,0.001545411,0.07528289],"category_scores_gemma":[0.01940503,0.001811513,0.00241271,0.03999391,0.0006271253,0.002449543,0.002475483,0.00325642,0.04357286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05441822,"about_ca_system_score_gemma":0.1381382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995669,"about_ca_topic_score_gemma":0.9942679,"domain_scores_codex":[0.9955865,0.0003005909,0.0004805614,0.0005357303,0.002027554,0.001069073],"domain_scores_gemma":[0.9648686,0.001210098,0.001176926,0.000936846,0.03006631,0.00174125],"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":[0.00002825792,0.000008354706,0.001488448,0.0002981912,0.00002707268,0.000007495491,0.00002879894,0.0001252523,0.000008919734,0.0003502718,0.9958008,0.001828067],"study_design_scores_gemma":[0.0002081332,0.00001867002,0.04163053,0.001239925,0.0001009693,0.000036301,0.0006267829,0.0006211175,0.0001955352,0.0007706232,0.9544361,0.0001152364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006345915,0.00005591317,0.00002572412,0.0001159011,0.00002325772,0.00001614342,0.9990243,0.00005215062,0.0006231899],"genre_scores_gemma":[0.0009534482,0.0003200106,0.0004113997,0.0001524828,0.0000198136,0.0001507097,0.9945247,0.0000976343,0.003369777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07528289,"threshold_uncertainty_score":0.3948337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195725385992629,"score_gpt":0.2863884525423111,"score_spread":0.2544311986823848,"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."}}