{"id":"W6901391282","doi":"10.6068/dp14ba7d4b27644","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Labor - Industries | Country: Canada | Table: Average weekly earnings by enterprise size of employment (SEPH) for all employees, including overtime, for selected industries classified using the North American Industry Classification System (NAICS) | Variable: Accommodation and food services, 0 to 4 employees | Units: Current $CAD, 2001-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-139.","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; Economic statistics; Census; Business statistics; Official statistics; Summary statistics; Social statistics; Statistical analysis; 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":[0.001950548,0.002453567,0.00268718,0.00813079,0.003209551,0.004777582,0.005264552,0.001519119,0.09380297],"category_scores_gemma":[0.01736827,0.001692004,0.002029968,0.03826499,0.0005473197,0.002456863,0.002241702,0.003022816,0.06520773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04224831,"about_ca_system_score_gemma":0.1066188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927811,"about_ca_topic_score_gemma":0.9905621,"domain_scores_codex":[0.996218,0.0002440961,0.0004030994,0.0005459505,0.001665565,0.0009233238],"domain_scores_gemma":[0.9660609,0.001240637,0.001005081,0.001009803,0.02913911,0.001544567],"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":[0.00002173708,0.000005713087,0.0009101214,0.0001867809,0.00001666996,0.000005704219,0.00001673389,0.00008335018,0.000007460899,0.0002561096,0.9970652,0.001424313],"study_design_scores_gemma":[0.0001705331,0.00001251974,0.02504158,0.0008289251,0.00006284256,0.00002639491,0.0004247364,0.0004812205,0.0001751481,0.0006203266,0.9720659,0.00008995001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004484753,0.00003699302,0.00001908592,0.00009556246,0.00002160885,0.00001042668,0.9990785,0.00005339359,0.0006395516],"genre_scores_gemma":[0.0005665739,0.0001891342,0.000268941,0.0001188451,0.00001545599,0.00009344658,0.9953573,0.00009357098,0.003296616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09380297,"threshold_uncertainty_score":0.3138022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550335530289263,"score_gpt":0.2861520553230309,"score_spread":0.2311185022941046,"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."}}