{"id":"W6939317707","doi":"10.6068/dp14ba8cd4e3265","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Employment and Unemployment | Country: Canada | Table: Labour statistics by business sector industry and by non-commercial activity consistent with the industry accounts | Variable: Total number of jobs, Non-metallic mineral product manufacturing (except cement and concrete products) | Units: # Hours Worked (000s), 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Unemployment; Official statistics; Census; Summary statistics; Social statistics; Private sector; Public sector; Product (mathematics)","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":[0.001867396,0.002414848,0.002667542,0.007970338,0.003510432,0.004897089,0.004969526,0.00144998,0.07676107],"category_scores_gemma":[0.0157006,0.001742954,0.00200337,0.03562982,0.0005939458,0.002375733,0.002370415,0.002944612,0.04795046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05023837,"about_ca_system_score_gemma":0.1256672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957128,"about_ca_topic_score_gemma":0.9946426,"domain_scores_codex":[0.9961879,0.000241175,0.0003848971,0.0004983188,0.001690235,0.0009975296],"domain_scores_gemma":[0.97151,0.001016304,0.0009713045,0.0007678843,0.0241692,0.001565224],"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":[0.00002428426,0.000007141427,0.001178755,0.0002147378,0.00001979032,0.000007054001,0.00002606484,0.0001066052,0.000008615634,0.0003248536,0.9965841,0.00149795],"study_design_scores_gemma":[0.0001756941,0.00001487775,0.03350171,0.0009605,0.00007571549,0.0000317372,0.0006608083,0.0005938408,0.0002219222,0.0006640758,0.9629898,0.0001093209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006621533,0.00004644904,0.00002226277,0.000113389,0.00002229039,0.00001218611,0.9989517,0.00005718792,0.0007083016],"genre_scores_gemma":[0.000904137,0.0002653452,0.0003416689,0.0001415909,0.00001724316,0.0001105425,0.9941512,0.0001038436,0.003964426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07676107,"threshold_uncertainty_score":0.3645066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979694625591493,"score_gpt":0.2420947854411658,"score_spread":0.2222978391852509,"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."}}