{"id":"W6957754234","doi":"10.6068/dp14ba8c2949730","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour force survey estimates (LFS), by usual hours worked, class of worker, North American Industry Classification System (NAICS) and sex | Variable: Employees, Total usual hours (main job), Information, culture and recreation, Both sexes | 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":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Work (physics); Recreation; Time-use survey; Descriptive statistics; Official statistics; Economic statistics; Summary statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196024,0.002307026,0.002823229,0.007423469,0.002622733,0.00407357,0.005327415,0.001340593,0.0740845],"category_scores_gemma":[0.01566944,0.001606891,0.002128522,0.03727831,0.0005317564,0.001989007,0.00212031,0.003177941,0.04519022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04085861,"about_ca_system_score_gemma":0.09725799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934644,"about_ca_topic_score_gemma":0.992047,"domain_scores_codex":[0.9962735,0.0002582023,0.0004348627,0.0005110363,0.001631182,0.0008911144],"domain_scores_gemma":[0.971046,0.001078775,0.001036157,0.0007177113,0.02477468,0.001346739],"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":[0.0000285097,0.000009163216,0.001629196,0.000308205,0.00002649329,0.000006129399,0.00002666451,0.0001166953,0.000007595009,0.0002459686,0.9958943,0.001701029],"study_design_scores_gemma":[0.0002618964,0.00002088967,0.05826492,0.001343457,0.0001088089,0.00003165113,0.0008011577,0.0006373485,0.0001801344,0.000643612,0.9376025,0.0001036373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007234655,0.00004824046,0.00002036017,0.00008860392,0.00002268229,0.00001316951,0.999178,0.0000416004,0.0005148973],"genre_scores_gemma":[0.0008180526,0.0002229355,0.0002598793,0.0001216315,0.00001653273,0.0001257249,0.9953935,0.00006467395,0.002977125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0740845,"threshold_uncertainty_score":0.2964514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293261314749768,"score_gpt":0.2494005879196484,"score_spread":0.2264679747721507,"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."}}