{"id":"W6958208151","doi":"10.6068/dp14ba8c04a6f87","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | 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: Health and personal care stores, Annual average number of hours worked for employee jobs | Units: , 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Economic statistics; Official statistics; Wages and salaries; Summary statistics; National accounts; Socioeconomic status; Personal income; Statistics education","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001880382,0.002579033,0.002900346,0.008183721,0.002940744,0.004738307,0.005264916,0.001529272,0.07892255],"category_scores_gemma":[0.01680048,0.001766995,0.002028452,0.04116601,0.0006174098,0.002382093,0.002098582,0.003242113,0.05697865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04937634,"about_ca_system_score_gemma":0.1183815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934112,"about_ca_topic_score_gemma":0.9916682,"domain_scores_codex":[0.9958147,0.0002719013,0.0004156088,0.0005574755,0.001946811,0.0009934427],"domain_scores_gemma":[0.967997,0.001086737,0.001047788,0.0009258496,0.02757229,0.001370263],"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":[0.00002308582,0.000006479609,0.0009035357,0.0001745496,0.00001870032,0.00000539266,0.00001442984,0.0001026684,0.000007517733,0.0002626251,0.9973271,0.001153833],"study_design_scores_gemma":[0.0001862073,0.00001271534,0.02619897,0.0008273282,0.00006645259,0.0000268012,0.0004256818,0.0006016619,0.0002122244,0.000654423,0.9706926,0.00009495211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005320197,0.00004102717,0.00001762728,0.00009766322,0.00002311005,0.00001017724,0.9990767,0.00005181762,0.0006286443],"genre_scores_gemma":[0.0006620898,0.0001893767,0.0002580206,0.0001139679,0.00001612341,0.00008160408,0.9956722,0.00008402778,0.002922582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9210774,"threshold_uncertainty_score":0.3582521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863523547895498,"score_gpt":0.2473210417550005,"score_spread":0.2286858062760455,"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."}}