{"id":"W6976749185","doi":"10.6068/dp14ba8c37b0f25","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: Total incidence rate, Professional, scientific and technical services, Both sexes | 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); Summary statistics; Socioeconomic status; 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":[0.002242593,0.002468204,0.002795922,0.009071263,0.003217991,0.004352936,0.005844785,0.001523271,0.07517286],"category_scores_gemma":[0.01929998,0.001702375,0.002274217,0.03887373,0.0005940294,0.002301915,0.002349156,0.003167668,0.04369808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05033052,"about_ca_system_score_gemma":0.1267223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949113,"about_ca_topic_score_gemma":0.9934837,"domain_scores_codex":[0.9959382,0.0002796914,0.0004477109,0.0005222215,0.001826189,0.0009860035],"domain_scores_gemma":[0.967117,0.001227924,0.001131837,0.0009129226,0.02796618,0.001644164],"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":[0.00002619038,0.000007706416,0.001361774,0.0002661905,0.00002597628,0.000006828287,0.00002590323,0.0001221965,0.000008170106,0.0003297944,0.9961957,0.001623602],"study_design_scores_gemma":[0.0002247287,0.00001772934,0.03865545,0.001201234,0.0001045141,0.00003625588,0.0006037863,0.0006351773,0.0001940509,0.0008148116,0.9574006,0.0001116136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000586251,0.00004750396,0.00002356205,0.0001024113,0.00002037209,0.0000143938,0.9991431,0.00004893781,0.0005410737],"genre_scores_gemma":[0.0008590465,0.0002607739,0.0003644301,0.0001372685,0.00001791344,0.0001359488,0.9952583,0.00008634114,0.002879914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07517286,"threshold_uncertainty_score":0.3651752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934153734794963,"score_gpt":0.2581177114377261,"score_spread":0.2387761740897765,"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."}}