{"id":"W6957532768","doi":"10.6068/dp14ba84d3d3a81","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Miscellaneous manufacturing, Self-employed income | Units: $CAD x 1,000, 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":"Census; Economic statistics; Work (physics); Official statistics; Descriptive statistics; National accounts; Summary statistics; Recreation; Socioeconomic status; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00100903,0.001134487,0.001605332,0.0001696548,0.0002630584,0.0003290068,0.001661877,0.000485604,0.0002336911],"category_scores_gemma":[0.00006435367,0.0009473203,2.998121e-7,0.0004589145,0.0010148,0.0002260381,0.0005424899,0.00125841,0.000008269506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009545562,"about_ca_system_score_gemma":0.01292466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970146,"about_ca_topic_score_gemma":0.9951167,"domain_scores_codex":[0.9928851,0.0008551973,0.001399559,0.001457779,0.002456122,0.0009462956],"domain_scores_gemma":[0.9924152,0.001118864,0.003062606,0.002204009,0.0004175826,0.0007817699],"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":[0.0004106022,0.00009892518,0.004482775,0.003620635,0.001108933,0.0003253162,0.000007357155,0.0000460573,8.491385e-7,0.000229839,0.9896318,0.00003692269],"study_design_scores_gemma":[0.001275996,0.0001342538,0.0009517677,0.0003048597,0.001026659,0.0002953404,0.001057884,0.0003540851,4.993161e-8,3.19282e-8,0.9936233,0.0009758222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001346063,0.0025763,0.000007437887,0.000003047563,0.0004335885,0.001587794,0.994516,0.0001013518,0.0006399464],"genre_scores_gemma":[0.001940426,0.000291627,0.0003623751,0.00007864161,0.0001779723,0.00005205772,0.9947029,0.0004166705,0.001977308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0119701,"threshold_uncertainty_score":0.9992977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157095243017806,"score_gpt":0.2208414555208505,"score_spread":0.2051319312190699,"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."}}