{"id":"W6920342546","doi":"10.6068/dp14ba7d4de1761","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour statistics by business sector industry and non-commercial activity, consistent with the System of National Accounts, by North American Industry Classification System (NAICS) | Variable: Annual average number of hours worked for all jobs, Accommodation and food services, Business sector | Units: , 1997-2011. 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; Census; Work (physics); Descriptive statistics; Official statistics; Summary statistics; Social statistics; Recreation; Business 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":[0.001714222,0.00237388,0.002608421,0.00741645,0.002926377,0.004251528,0.005048985,0.001359341,0.07105025],"category_scores_gemma":[0.01432092,0.001507573,0.001960068,0.03654722,0.0005663408,0.00212544,0.002088824,0.003272688,0.04834006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04108513,"about_ca_system_score_gemma":0.09975667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932422,"about_ca_topic_score_gemma":0.9921799,"domain_scores_codex":[0.9963391,0.0002384906,0.0003779334,0.0005162543,0.00161821,0.0009101158],"domain_scores_gemma":[0.9723947,0.0009556852,0.0009498296,0.000713157,0.02369968,0.001286981],"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":[0.00002570341,0.000008164428,0.001485266,0.000229705,0.00002215464,0.00000699874,0.00002572968,0.0001127593,0.000007603488,0.0002626964,0.9963912,0.001421993],"study_design_scores_gemma":[0.0001729269,0.00001560436,0.04338342,0.0009976241,0.00007663492,0.0000317432,0.0007566871,0.0005542613,0.0001811681,0.0005980795,0.9531325,0.00009934069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007485125,0.00004242139,0.00001875408,0.00009659922,0.00002163978,0.00001016048,0.9991335,0.00004117237,0.0005609686],"genre_scores_gemma":[0.0007666928,0.0001951072,0.0002216927,0.0001028936,0.00001428992,0.00008690955,0.9958359,0.00006263317,0.002713944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07105025,"threshold_uncertainty_score":0.2980949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234120212661971,"score_gpt":0.2415055888918078,"score_spread":0.2180935676256107,"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."}}