{"id":"W6977143586","doi":"10.6068/dp14ba878875854","title":"Trend 1989 - 2013. Statistics Canada. CANSIM: Labor - Industries | 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: 15 years and over, Total, days lost (including maternity leave), Agriculture, Females | Units: # Days, 1989-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-139.","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; Summary statistics; Wages and salaries; Socioeconomic status; Population statistics; Social 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":[0.002136473,0.002248948,0.002849333,0.008061484,0.003130403,0.004364193,0.005167949,0.001461051,0.09031948],"category_scores_gemma":[0.01767799,0.001791609,0.002152989,0.03969825,0.0005483906,0.00226641,0.002266786,0.002883644,0.05488339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04976117,"about_ca_system_score_gemma":0.1268839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949385,"about_ca_topic_score_gemma":0.9927936,"domain_scores_codex":[0.9959918,0.0002709742,0.0004885831,0.0005198057,0.001779808,0.000949116],"domain_scores_gemma":[0.9650702,0.001157674,0.00101056,0.0009358174,0.03031095,0.00151483],"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":[0.00002721222,0.000007370792,0.001092924,0.000271926,0.00002294978,0.000006253936,0.00002327591,0.00009756713,0.000009216303,0.0002920443,0.9963135,0.001835799],"study_design_scores_gemma":[0.000213644,0.00001598832,0.0334965,0.001055259,0.00009175755,0.00002957599,0.000548242,0.0005127997,0.000189207,0.000662783,0.9630868,0.00009736227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005497124,0.00004683872,0.0000222501,0.000106241,0.00002519348,0.00001473778,0.9989813,0.00005286507,0.0006956035],"genre_scores_gemma":[0.0008148145,0.0002845824,0.0003716294,0.0001648885,0.00001856169,0.0001362288,0.9939798,0.0001060068,0.004123518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09031948,"threshold_uncertainty_score":0.3610442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03616630669517631,"score_gpt":0.2535726651709844,"score_spread":0.2174063584758081,"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."}}