{"id":"W6907796359","doi":"10.25318/1810007401-eng","title":"Average hourly earnings, excluding overtime, in building construction","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Seasonality; Seasonal adjustment; Data collection","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":[0.000587857,0.0009347823,0.0007298903,0.003980336,0.0005254413,0.001324163,0.001451656,0.0007398116,0.03207398],"category_scores_gemma":[0.004785072,0.0004741392,0.0006024509,0.01144778,0.0001818006,0.000780066,0.0006655923,0.001138242,0.02515064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284595,"about_ca_system_score_gemma":0.003932235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4269694,"about_ca_topic_score_gemma":0.4654359,"domain_scores_codex":[0.9989638,0.00007061414,0.0001410187,0.0002002596,0.000440384,0.0001839212],"domain_scores_gemma":[0.9963704,0.0004959942,0.0006357066,0.0003099131,0.001902721,0.0002853202],"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":[0.0000667643,0.00002843581,0.0106731,0.0003002545,0.00003123944,0.00002941732,0.00003942345,0.0005913264,0.0000465922,0.0007181434,0.9831602,0.004315156],"study_design_scores_gemma":[0.0001562393,0.00004450688,0.2001915,0.0004930309,0.00005332067,0.00008573437,0.000385847,0.001195006,0.0004023759,0.0006119853,0.7963304,0.00005004376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001238,0.00007507787,0.00003781213,0.00005466607,0.00002021112,0.000008834973,0.9968092,0.00003977542,0.001716389],"genre_scores_gemma":[0.003516165,0.0001735572,0.0001182232,0.00004051207,0.00001536763,0.00004778157,0.992273,0.00001890613,0.003796542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5730306,"threshold_uncertainty_score":0.8489684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904160114462205,"score_gpt":0.2662158397638003,"score_spread":0.2571742386191782,"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."}}