{"id":"W6901458980","doi":"10.6068/dp14ba8caa4ac80","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: Employees, Total actual hours (main job), Finance, insurance, real estate and leasing, Males | 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; Time-use survey; Official statistics; Socioeconomic status; Descriptive statistics; Summary 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":[0.00184279,0.002226456,0.002781797,0.007536552,0.002774139,0.004130273,0.005154799,0.001333886,0.07694494],"category_scores_gemma":[0.01490479,0.001590201,0.002054684,0.03712959,0.0005233847,0.002015401,0.002095458,0.003151617,0.04764416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04302863,"about_ca_system_score_gemma":0.1025919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941279,"about_ca_topic_score_gemma":0.9927752,"domain_scores_codex":[0.996245,0.0002432651,0.0004259159,0.0004905082,0.001668924,0.0009263463],"domain_scores_gemma":[0.9700771,0.001023544,0.001045127,0.0006929433,0.02575075,0.00141044],"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":[0.0000291993,0.000009427991,0.001681279,0.0002881871,0.00002489352,0.000006511717,0.00002795805,0.0001137829,0.000007833542,0.0002537355,0.9958321,0.001724944],"study_design_scores_gemma":[0.000241124,0.00002214512,0.06181807,0.001307175,0.0001038361,0.00003342547,0.0008621537,0.0006231315,0.000192445,0.0006278766,0.9340656,0.0001030775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008364777,0.00005080253,0.00002048374,0.00009631849,0.00002364074,0.00001395118,0.9990709,0.00004259227,0.0005976689],"genre_scores_gemma":[0.0009065572,0.0002468842,0.0002537179,0.0001301874,0.00001748914,0.000123278,0.9945861,0.00006588152,0.003669873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07694494,"threshold_uncertainty_score":0.312196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362797566153854,"score_gpt":0.2464775900750718,"score_spread":0.2228496144135333,"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."}}