{"id":"W2751184957","doi":"10.1108/jmd-09-2016-0185","title":"Unpacking the combined effects of job scope and supervisor support on in-role performance","year":2017,"lang":"en","type":"article","venue":"Journal of Management Development","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Supervisor; Job analysis; Scope (computer science); Job performance; Moderation; Psychology; Originality; Job design; Job attitude; Context (archaeology); Job enrichment; Contextual performance; Job rotation; Applied psychology; Social psychology; Knowledge management; Job satisfaction; Management; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005356228,0.0001155367,0.0001804625,0.0002659712,0.0002716746,0.0001893469,0.0003171282,0.00002414792,0.00007667608],"category_scores_gemma":[0.00004931111,0.00008080078,0.00002970486,0.0001107415,0.00004010805,0.0006177492,0.0002060586,0.000112189,0.00003014279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004213396,"about_ca_system_score_gemma":0.00002377038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090704,"about_ca_topic_score_gemma":0.00001590074,"domain_scores_codex":[0.998979,0.000008186167,0.0003949689,0.0001002711,0.0003800793,0.0001375071],"domain_scores_gemma":[0.9992425,0.00002678432,0.000440988,0.000164063,0.000113446,0.00001223797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009438663,0.0001089033,0.94334,0.0004122952,0.00006766624,0.00003822857,0.0001945145,0.00003159034,0.0001789535,0.004084114,0.0008658723,0.0505835],"study_design_scores_gemma":[0.001278583,0.00003145639,0.9855593,0.0002802692,0.00003861386,0.000002490485,0.0001495561,0.00002402282,0.0008624438,0.00008324961,0.01159478,0.00009524671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926707,0.00005562791,0.00002167954,0.0008882443,0.0003995816,0.0002279282,1.003057e-7,0.000005903401,0.005730249],"genre_scores_gemma":[0.9985902,0.0001295801,0.0003037323,0.0005415724,0.00007932144,0.000004687961,0.000001130787,0.00001208321,0.0003376459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05048825,"threshold_uncertainty_score":0.329496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088654809104029,"score_gpt":0.2197459911764259,"score_spread":0.2088594430853856,"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."}}