{"id":"W643298962","doi":"","title":"INFORMATION SYSTEMS ACADEMICS: ADVOCATING POLITICAL DECISION MAKING TO EXPAND IMPACT AND RELEVANCE?","year":2013,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relevance (law); Politics; Field (mathematics); Public relations; Perspective (graphical); Political science; Computer science; Law","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008621071,0.0001577874,0.0001763579,0.0003105438,0.0002799946,0.002325288,0.0004159231,0.0001725263,0.0002003374],"category_scores_gemma":[0.0009154173,0.0001367729,0.00003907727,0.0001959595,0.00006489623,0.007487998,0.00008698195,0.0001850821,0.0009324332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504131,"about_ca_system_score_gemma":0.0001723559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005539349,"about_ca_topic_score_gemma":0.00005277808,"domain_scores_codex":[0.9974834,0.00009147759,0.0007337948,0.0001067369,0.001232949,0.0003516128],"domain_scores_gemma":[0.9979053,0.0004403745,0.000401195,0.0001369688,0.0008734492,0.0002427215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004020416,0.000008131821,0.006362243,0.00004741073,0.00002847143,1.32215e-7,0.01612063,0.0004360882,0.00001393869,0.9504156,0.002563524,0.02396366],"study_design_scores_gemma":[0.001390623,0.0002830186,0.02397471,0.002707009,0.00001840246,0.00002949938,0.4001091,0.1364556,0.00002229597,0.005236767,0.4287463,0.001026726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4929654,0.00005116088,0.01030955,0.004305789,0.003203784,0.001574914,0.000110226,0.0001940693,0.4872851],"genre_scores_gemma":[0.9982604,0.00004319899,0.0001436303,0.0008553176,0.0003409031,0.0001446624,0.00004670905,0.000004979489,0.0001601905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9451788,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073481549363679,"score_gpt":0.3607255912477361,"score_spread":0.3199907757540993,"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."}}