{"id":"W2736734882","doi":"10.5430/ijba.v8n5p36","title":"Fair Labor Standard Act Mandate: How Do Higher Education Human Resource Departments React?","year":2017,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Workforce; Business; Government (linguistics); Human resources; Compensation (psychology); Resource (disambiguation); Human resource management; Compensation of employees; Unfunded mandate; Public relations; Public administration; Economic growth; Political science; Management; Economics; Law; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01793893,0.0002286261,0.0002318897,0.001450466,0.002944982,0.004601748,0.001058849,0.003210263,0.006329668],"category_scores_gemma":[0.04659292,0.0002560001,0.0004839762,0.001527483,0.001893661,0.003030699,0.002025036,0.003216414,0.001196908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006638024,"about_ca_system_score_gemma":0.008549151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0438921,"about_ca_topic_score_gemma":0.04814392,"domain_scores_codex":[0.9877486,0.003989635,0.0005630208,0.0009451061,0.004511985,0.002241623],"domain_scores_gemma":[0.9751007,0.008747665,0.006453773,0.001037658,0.005747329,0.00291288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004039029,0.001222582,0.5526897,0.0002142894,0.0001229143,0.0003860565,0.01604694,0.005381578,0.002700255,0.06290397,0.1862919,0.171636],"study_design_scores_gemma":[0.0000489343,0.0005174047,0.793115,0.0003685661,0.00003760097,0.00009323189,0.02742097,0.005092559,0.002059692,0.02313288,0.1479183,0.0001948137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773955,0.001764103,0.007034799,0.1890869,0.002691704,0.0003870935,0.001572457,0.0004969466,0.1195704],"genre_scores_gemma":[0.9729866,0.0003335472,0.0008451925,0.01527474,0.0003122805,0.0001402608,0.0004450678,0.00004845039,0.009613826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0438921,"threshold_uncertainty_score":0.09487122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143467653513813,"score_gpt":0.3072194457409575,"score_spread":0.2857847692058194,"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."}}