{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169699,0.002343214,0.002690863,0.007847583,0.002800444,0.00441683,0.005002947,0.001403232,0.07469019],"category_scores_gemma":[0.01655759,0.00158714,0.001982283,0.04001229,0.0005684345,0.002194625,0.002123193,0.003084849,0.04621283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04593987,"about_ca_system_score_gemma":0.107394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940784,"about_ca_topic_score_gemma":0.9926413,"domain_scores_codex":[0.9960874,0.0002479099,0.0004294142,0.0005540754,0.001757684,0.0009236079],"domain_scores_gemma":[0.9669462,0.001212558,0.001162196,0.0008250245,0.02835628,0.001497839],"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":[0.00002737399,0.00000845268,0.001544413,0.0002279723,0.00002329221,0.000006216884,0.00002492604,0.0001199019,0.00000778033,0.0002716492,0.9964182,0.001319721],"study_design_scores_gemma":[0.0002046838,0.00001821231,0.05000905,0.001012795,0.00008342135,0.00003038441,0.0007454916,0.0007283919,0.0002047033,0.0006130581,0.9462404,0.0001095089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007760516,0.00003801201,0.00001772047,0.0000912379,0.0000194451,0.00001101603,0.9991632,0.00004234698,0.000539468],"genre_scores_gemma":[0.0008588025,0.000184851,0.0002247011,0.0001067191,0.00001428137,0.00009925351,0.9957123,0.00006091962,0.002738177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07469019,"threshold_uncertainty_score":0.3333187,"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."}}