{"id":"W6976547117","doi":"10.6068/dp14ba816c35495","title":"Trend 2001 - 2007. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Average weekly hours for employees paid by the hour (SEPH), for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Coal mining, Including overtime | Units: # Hours, 2001-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-138.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Overtime; Work (physics); Descriptive statistics; Economic statistics; Official statistics; Recreation; Summary statistics; 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":[0.001008603,0.0006981382,0.001094699,0.0001312097,0.0007341713,0.0007263454,0.001776561,0.0003387675,0.0006332661],"category_scores_gemma":[0.0006514063,0.0005101718,8.180206e-7,0.0006148927,0.0007432171,0.0001799692,0.0003361686,0.0009805387,0.000001186842],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914993,"about_ca_system_score_gemma":0.0109228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955918,"about_ca_topic_score_gemma":0.9934319,"domain_scores_codex":[0.9952278,0.0005306216,0.000975663,0.0008966171,0.001226285,0.001143048],"domain_scores_gemma":[0.9942216,0.001844432,0.001435477,0.00157073,0.0004565371,0.0004712344],"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":[0.0002423439,0.00006439674,0.001748006,0.0002755984,0.001079162,0.00002831044,0.00003702046,0.00003312821,3.31528e-7,0.000197854,0.9961816,0.0001122273],"study_design_scores_gemma":[0.0007221249,0.00012368,0.00004141634,0.0001580594,0.001025408,0.00000719593,0.004784673,0.001695754,3.424493e-8,1.410119e-7,0.9908417,0.0005997893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004555564,0.000946412,0.0000588679,0.000016904,0.0006195232,0.001162891,0.9964194,0.00005309499,0.0006773219],"genre_scores_gemma":[0.000814058,0.0001975949,0.0001290271,0.0001927445,0.001057154,0.00007295501,0.9933046,0.0002130214,0.004018906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0105313,"threshold_uncertainty_score":0.999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08112391580224905,"score_gpt":0.2825192326805486,"score_spread":0.2013953168782995,"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."}}