{"id":"W3196061575","doi":"10.1002/hrm.22081","title":"Assessing job crafting competencies to predict tradeoffs between competing outcomes","year":2021,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Operationalization; Psychology; Proactivity; Job analysis; Job performance; Acquiescence; Applied psychology; Job design; Social psychology; Knowledge management; Computer science; Job satisfaction; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002288049,0.0004067113,0.0002406284,0.001355865,0.0003506802,0.001023512,0.0002958646,0.0006152423,0.001418091],"category_scores_gemma":[0.009958311,0.0001516625,0.0003831926,0.0004807853,0.000463182,0.0005949575,0.0009008577,0.0007891418,0.00024556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543804,"about_ca_system_score_gemma":0.0004472102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015589,"about_ca_topic_score_gemma":0.002946775,"domain_scores_codex":[0.9992296,0.0002659899,0.00007226326,0.00008133584,0.0002351081,0.0001156441],"domain_scores_gemma":[0.9940075,0.00263276,0.001707272,0.0002203372,0.0004760853,0.0009560565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006545052,0.0001389587,0.9944824,0.000006431133,0.00002458956,0.0000104675,0.0000804037,0.0004300775,0.0001924961,0.00006769256,0.00003871061,0.004462385],"study_design_scores_gemma":[0.000008356524,0.0003434937,0.9928395,0.0000182184,0.00001119018,0.00004457741,0.0003550389,0.005501524,0.0004034358,0.0003641758,0.0001009993,0.000009543813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991205,0.00002863636,0.0003279397,0.00002387055,0.000001726172,0.00001132272,0.00004524723,0.000002943989,0.0004378531],"genre_scores_gemma":[0.9995773,0.0000121936,0.0002772861,0.000004706506,9.738598e-7,0.000007443185,0.00005817341,7.149946e-7,0.00006124738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288049,"threshold_uncertainty_score":0.01210046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011465118444685,"score_gpt":0.2806890513310329,"score_spread":0.240574400146586,"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."}}