{"id":"W6920457114","doi":"10.6068/dp14ba8d2c81148","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 North American Industry Classification System (NAICS) | Variable: Incidence rate, personal or family responsibility, Local and other administration, 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; Official statistics; Economic statistics; Work (physics); Socioeconomic status; 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":[0.002222383,0.002461591,0.002751794,0.008671951,0.003243476,0.004364499,0.005793176,0.001492949,0.07584943],"category_scores_gemma":[0.01852966,0.001699568,0.002252765,0.03725109,0.0005928128,0.00227997,0.002319586,0.003161083,0.04445259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05050566,"about_ca_system_score_gemma":0.1266519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951679,"about_ca_topic_score_gemma":0.9939084,"domain_scores_codex":[0.9959507,0.0002806732,0.0004369054,0.0005179035,0.00182246,0.0009913502],"domain_scores_gemma":[0.96726,0.001178836,0.001091006,0.0009016941,0.02790564,0.001662818],"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":[0.00002615576,0.000007670283,0.001385631,0.0002499987,0.00002492057,0.000006865212,0.00002612909,0.0001218502,0.000008144062,0.000323781,0.9961852,0.001633599],"study_design_scores_gemma":[0.0002184387,0.0000178981,0.03906367,0.00116437,0.0001004269,0.00003603873,0.0006186101,0.0006511536,0.000195381,0.0007923805,0.9570326,0.0001091599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000620264,0.00004841903,0.00002457661,0.0001075888,0.00002119139,0.00001466054,0.9990933,0.0000510838,0.0005771754],"genre_scores_gemma":[0.000904651,0.0002645165,0.0003780004,0.0001430827,0.00001849332,0.0001364132,0.9948701,0.00009312006,0.003191747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07584943,"threshold_uncertainty_score":0.366446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753927522425601,"score_gpt":0.2765019862812661,"score_spread":0.2389627110570101,"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."}}