{"id":"W2974512676","doi":"10.1111/joop.12293","title":"Political knowledge at work: Conceptualization, measurement, and applications to follower proactivity","year":2019,"lang":"en","type":"article","venue":"Journal of Occupational and Organizational Psychology","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Proactivity; Politics; Conceptualization; Psychology; Social psychology; Context (archaeology); Discriminant validity; Political science; Computer 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":[0.004102042,0.0002345152,0.0002565625,0.003572194,0.001022756,0.002234507,0.0005351122,0.0009127298,0.001537454],"category_scores_gemma":[0.01466735,0.0001643368,0.0003279599,0.002304617,0.002808733,0.001870994,0.001727804,0.001133419,0.0001418783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346735,"about_ca_system_score_gemma":0.001071979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126032,"about_ca_topic_score_gemma":0.00326258,"domain_scores_codex":[0.9975246,0.001409103,0.0001791181,0.0001763727,0.0005575882,0.0001532601],"domain_scores_gemma":[0.9804929,0.01110442,0.005311041,0.000792397,0.001187262,0.001111906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008932041,0.0006972792,0.7971629,0.0003905885,0.00009272505,0.0002232283,0.04236252,0.001159843,0.001366843,0.02425532,0.0008454956,0.131354],"study_design_scores_gemma":[0.00002184953,0.0003705255,0.9138142,0.0005452376,0.00007681411,0.0004972058,0.04182892,0.006258493,0.0007061802,0.02865078,0.00716353,0.00006625568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413709,0.00190598,0.01644436,0.001545504,0.00006146665,0.0001921777,0.0001281257,0.00002321824,0.03832828],"genre_scores_gemma":[0.9969674,0.0003442277,0.002171115,0.00005900141,0.00002187005,0.0001117239,0.00004206126,0.000002116709,0.0002805118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004102042,"threshold_uncertainty_score":0.02169389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05002753020766167,"score_gpt":0.3290039572162526,"score_spread":0.2789764270085909,"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."}}