{"id":"W6976821883","doi":"10.6068/dp14ba864b89011","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour force survey estimates (LFS), by actual hours worked, class of worker, North American Industry Classification System (NAICS) and sex | Variable: Self-employed, 0 hours, Goods-producing sector, Females | Units: # Hours x 1,000, 1987-2013. 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; Work (physics); Recreation; Economic statistics; Official statistics; Descriptive statistics; Summary statistics; Time-use survey; Socioeconomic status","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","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002592744,0.002159146,0.003346221,0.0004470384,0.0003272402,0.0005729394,0.003468359,0.001186879,0.0002792814],"category_scores_gemma":[0.0005130952,0.00219295,9.980379e-7,0.003380448,0.001199727,0.0006225063,0.00112643,0.002390311,0.00001364887],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009927225,"about_ca_system_score_gemma":0.01344167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992676,"about_ca_topic_score_gemma":0.9985802,"domain_scores_codex":[0.9875309,0.002043938,0.002367868,0.003067485,0.002882939,0.002106876],"domain_scores_gemma":[0.9851993,0.002812611,0.004704446,0.005248009,0.0004491983,0.001586396],"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":[0.0005753125,0.0002184126,0.1045575,0.001216129,0.001819765,0.0001438963,0.00001759306,0.0001725697,0.000003498007,0.00003538002,0.8910434,0.0001964644],"study_design_scores_gemma":[0.001714541,0.0001806542,0.008197589,0.0007692988,0.001670872,0.00008204883,0.001666685,0.0003733404,2.255418e-7,4.626034e-8,0.9832898,0.002054911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009975187,0.005854897,0.0000141503,0.000005511544,0.0007968991,0.001807983,0.9900511,0.0003163665,0.0001555934],"genre_scores_gemma":[0.004478298,0.00151909,0.0009652427,0.00008203117,0.0003149691,0.00007121768,0.9906684,0.001186568,0.0007142306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09635996,"threshold_uncertainty_score":0.9999112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499754274053344,"score_gpt":0.2557173425471331,"score_spread":0.2207197998065997,"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."}}