{"id":"W2785303392","doi":"","title":"Saskatchewan. Worker's Compensation Board. Review Committee","year":2017,"lang":"en","type":"article","venue":"Biographies | Encyclopedia of Canadian Laws","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workers' compensation; Compensation (psychology); Business; Accounting; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002759452,0.0001999842,0.0003372367,0.001265208,0.0005297385,0.0002854544,0.0006000823,0.00009148987,0.0006250065],"category_scores_gemma":[0.000179256,0.0001930964,0.0001768501,0.0008837414,0.0002800011,0.0009476857,0.00006883869,0.000120477,0.0001813119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656931,"about_ca_system_score_gemma":0.0000897067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7334169,"about_ca_topic_score_gemma":0.9205389,"domain_scores_codex":[0.9988108,0.0000139146,0.0003647041,0.0002334232,0.0002528405,0.0003242746],"domain_scores_gemma":[0.9984156,0.00002198118,0.0005925384,0.0006851037,0.000213704,0.00007099907],"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":[0.0000130141,0.00003793342,0.3168263,0.0007887032,0.00007106876,0.00001786626,0.0001301984,0.000001052095,0.00001284664,0.04681876,0.6098917,0.02539062],"study_design_scores_gemma":[0.0001666922,0.000004602294,0.1916654,0.0003819854,0.00005909234,3.510503e-7,0.0001579164,0.000005068443,0.000002958559,0.000438988,0.806928,0.0001889723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0282513,0.007483235,0.000006654353,0.01398521,0.001233947,0.0006228643,0.00003423127,0.0001085709,0.948274],"genre_scores_gemma":[0.977615,0.01197697,0.000352174,0.005973608,0.001031457,0.00003109413,0.0000987822,0.00003548551,0.002885421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9493637,"threshold_uncertainty_score":0.7874243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737074747876138,"score_gpt":0.2303067949546801,"score_spread":0.2129360474759188,"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."}}