{"id":"W6920311649","doi":"10.6068/dp14ba87d1e1488","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour statistics by business sector industry and by non-commercial activity consistent with the industry accounts | Variable: Total number of jobs, Motor vehicle brake system manufacturing | Units: # Hours Worked (000s), 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-138.","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; Official statistics; Census; Work (physics); Descriptive statistics; Recreation; Business statistics; Summary statistics; 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":[0.001643948,0.002370875,0.002430183,0.007801112,0.002979956,0.004310628,0.004891594,0.001373733,0.07866315],"category_scores_gemma":[0.01513214,0.001534125,0.001832575,0.0368854,0.0005727116,0.002151738,0.002269357,0.002904228,0.04678033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04173576,"about_ca_system_score_gemma":0.1024724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942641,"about_ca_topic_score_gemma":0.9928235,"domain_scores_codex":[0.9964916,0.0002329507,0.0003551475,0.0004779123,0.001528227,0.0009141141],"domain_scores_gemma":[0.9731852,0.001041971,0.0009344568,0.0007091161,0.02263457,0.001494748],"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":[0.00002404337,0.000008070544,0.001404643,0.0002201051,0.0000187089,0.000007039703,0.00003060443,0.0001157911,0.000007446713,0.0003145466,0.9963005,0.001548462],"study_design_scores_gemma":[0.0001554285,0.0000145006,0.03907213,0.0009863598,0.00006478292,0.00002977908,0.0008206439,0.0005800865,0.0001806881,0.0006541858,0.957343,0.00009841385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000074191,0.00004089073,0.00002202604,0.0001034157,0.00001852509,0.00001050809,0.9990588,0.00004830343,0.0006234072],"genre_scores_gemma":[0.0009110517,0.000223218,0.000288034,0.0001058004,0.0000135013,0.000101455,0.9950669,0.0000815974,0.003208413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07866315,"threshold_uncertainty_score":0.3028156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017623862243689,"score_gpt":0.2331330627469159,"score_spread":0.2155092005032269,"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."}}