{"id":"W6957962837","doi":"10.6068/dp14ba8e9dd5d81","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Hours of Work and Work Arrangements | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Sand, gravel, clay, and ceramic and refractory minerals mining and quarrying, Employee's compensation per hour worked | Units: , 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-138.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Sustainability in Higher Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Work (physics); Official statistics; Descriptive statistics; Summary statistics; Recreation; National accounts; 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":[0.001076333,0.0004314743,0.0007032211,0.00009306463,0.0003118876,0.000297951,0.0004142346,0.0002761657,0.00004154979],"category_scores_gemma":[0.0001268337,0.0003762005,1.839364e-7,0.0002992974,0.001245801,0.0003184059,0.0001628137,0.00044121,1.578232e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004644467,"about_ca_system_score_gemma":0.00767044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912792,"about_ca_topic_score_gemma":0.9834742,"domain_scores_codex":[0.9963744,0.0007510876,0.0006606177,0.0007530607,0.00103496,0.0004258509],"domain_scores_gemma":[0.9961835,0.001228061,0.001233502,0.0006378239,0.0003613719,0.000355764],"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":[0.0001160743,0.00002864537,0.04361896,0.00110358,0.0001767799,0.00001222166,0.0001266642,0.000003820892,0.000001212818,0.0003862265,0.9543068,0.0001189948],"study_design_scores_gemma":[0.000559107,0.00006969258,0.00791571,0.0001628832,0.0003126802,0.000023809,0.0147605,0.0001151597,7.182428e-9,1.851251e-7,0.9756795,0.0004007363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005054109,0.003112771,0.00001008285,0.00002129137,0.0002814512,0.000952707,0.990379,0.00002192166,0.0001666932],"genre_scores_gemma":[0.03079308,0.0004848376,0.0002904868,0.00007231571,0.0001402463,0.00003051142,0.9674112,0.00007373413,0.0007035738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03570325,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585053413641825,"score_gpt":0.2678530474816634,"score_spread":0.2420025133452452,"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."}}