{"id":"W6976393552","doi":"10.6068/dp14ba8a09e6556","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 age group | Variable: Inactivity rate, illness or disability, 15 to 19 years, 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":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Socioeconomic status; Summary statistics; Turnover; Work (physics); Population statistics; Statistical analysis","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":[0.002559292,0.002646854,0.002882713,0.009222284,0.003173458,0.004401722,0.005996839,0.001503545,0.08056697],"category_scores_gemma":[0.01989839,0.001854092,0.002473775,0.03993782,0.0006130362,0.002355556,0.002364152,0.003200896,0.04192537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05699738,"about_ca_system_score_gemma":0.1431404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996017,"about_ca_topic_score_gemma":0.9946615,"domain_scores_codex":[0.9955167,0.0003167198,0.0004985583,0.0005247998,0.002057598,0.001085596],"domain_scores_gemma":[0.9650485,0.001241978,0.001157154,0.0009030346,0.02987211,0.001777224],"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":[0.00003090768,0.000008468648,0.001502174,0.000335081,0.00002936182,0.000007658407,0.00003051458,0.0001435471,0.000009225388,0.0003696705,0.9955567,0.001976747],"study_design_scores_gemma":[0.0002385221,0.00002072101,0.04347999,0.001431943,0.0001167087,0.00003837382,0.0006750571,0.0006898214,0.0002027207,0.0008205742,0.9521602,0.0001253526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006092085,0.00005895901,0.00002718618,0.000112396,0.00002306702,0.00001706809,0.9990149,0.00005402917,0.0006315258],"genre_scores_gemma":[0.001115951,0.0003728881,0.0004827332,0.0001718797,0.00002093189,0.0001732746,0.9937332,0.0001133797,0.003815787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08056697,"threshold_uncertainty_score":0.4135469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836004834017116,"score_gpt":0.3153933712054545,"score_spread":0.2870333228652833,"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."}}