{"id":"W2079208145","doi":"10.1111/joop.12000","title":"Developing a measure of work uncertainty","year":2012,"lang":"en","type":"article","venue":"Journal of Occupational and Organizational Psychology","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Contingency; Task (project management); Measure (data warehouse); Job design; Work (physics); Contingency theory; Control (management); Job characteristic theory; Job satisfaction; Psychology; Discriminant validity; Job analysis; Job control; Job performance; Computer science; Knowledge management; Social psychology; Psychometrics; Economics; Data mining; Artificial intelligence; Engineering; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006638959,0.000375785,0.0003232697,0.002757592,0.0008688425,0.002398754,0.0007826858,0.0008278681,0.002483717],"category_scores_gemma":[0.0373612,0.0002404353,0.000679887,0.001430567,0.0006222385,0.00229794,0.002481641,0.0009626087,0.000474785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107778,"about_ca_system_score_gemma":0.00115077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293191,"about_ca_topic_score_gemma":0.001984203,"domain_scores_codex":[0.9930651,0.002348727,0.001031116,0.0004362414,0.002817902,0.0003009104],"domain_scores_gemma":[0.9696782,0.01491651,0.006510051,0.001943285,0.005858139,0.001093797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002861226,0.0009141732,0.673893,0.0004933286,0.0002661514,0.0001572701,0.01044821,0.005621961,0.003749402,0.01990533,0.004848544,0.2794164],"study_design_scores_gemma":[0.0001115932,0.002125257,0.8782105,0.0005638209,0.0001763409,0.0005197281,0.01610459,0.02558099,0.005723099,0.03130724,0.03925705,0.0003197198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121272,0.0008042466,0.1406144,0.00147587,0.0002607769,0.001914138,0.002315333,0.000282516,0.04020546],"genre_scores_gemma":[0.9313762,0.0002562612,0.0641379,0.0001899916,0.00007232909,0.001464414,0.001141447,0.00001643078,0.001345089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006638959,"threshold_uncertainty_score":0.03511059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160668388392139,"score_gpt":0.3215967335431566,"score_spread":0.2699900496592352,"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."}}