{"id":"W2791164132","doi":"","title":"Research Guides: EMPR 200: Work and Employment Relations in Canada: Related Blogs","year":2017,"lang":"en","type":"libguides","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Industrial relations; Sociology; Public relations; Media studies; Political science; Management; Engineering; Economics","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":[0.001762167,0.0005186818,0.000492398,0.009282798,0.005762733,0.005715776,0.0009445961,0.001305671,0.1776311],"category_scores_gemma":[0.009423484,0.0003249866,0.0002708908,0.01847145,0.001108991,0.002904777,0.00197538,0.001404516,0.03795043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332482,"about_ca_system_score_gemma":0.05943673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8301697,"about_ca_topic_score_gemma":0.9478838,"domain_scores_codex":[0.9990348,0.00008379197,0.00004330564,0.00009306771,0.0005544909,0.0001904998],"domain_scores_gemma":[0.9825338,0.003675516,0.0004969913,0.0004008922,0.009321637,0.003571206],"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":[0.000016678,0.00002205052,0.001361781,0.0002583929,0.000001561715,0.00003292211,0.001123563,0.00002677968,0.00007721736,0.0007066095,0.9715868,0.02478553],"study_design_scores_gemma":[0.0000127458,0.00001020152,0.01694812,0.0006384081,0.000008470686,0.00003123307,0.005806561,0.00006227712,0.0001149348,0.0003137288,0.9760368,0.0000164963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01401739,0.006649015,0.0008976714,0.02430443,0.00373499,0.001352117,0.4357628,0.001694666,0.5115869],"genre_scores_gemma":[0.02878003,0.00929367,0.002319683,0.003914888,0.001273725,0.00107501,0.07570458,0.001244437,0.876394],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1776311,"threshold_uncertainty_score":0.5942353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610293692494458,"score_gpt":0.3375498636483555,"score_spread":0.2765204943989097,"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."}}