{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09694234,0.001006638,0.001467623,0.005593486,0.02284314,0.06549343,0.003381959,0.02176226,0.02048384],"category_scores_gemma":[0.1576591,0.000900632,0.000978785,0.008927806,0.04019163,0.04909784,0.03455754,0.02584046,0.006092059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116762,"about_ca_system_score_gemma":0.04207658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00382589,"about_ca_topic_score_gemma":0.003945604,"domain_scores_codex":[0.8898621,0.0717866,0.002201611,0.003943865,0.01910401,0.01310181],"domain_scores_gemma":[0.8242772,0.09121797,0.009130539,0.009624487,0.02026293,0.04548686],"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":[0.0001035408,0.0003249284,0.004216522,0.0004720812,0.00005102062,0.0005187137,0.06590361,0.0003107989,0.0006982939,0.5545869,0.1918499,0.1809638],"study_design_scores_gemma":[0.00008923594,0.00009979722,0.002474841,0.0008947895,0.00003176591,0.0002723808,0.06344185,0.0006633732,0.0005122809,0.3710199,0.560424,0.00007592143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01030247,0.003660587,0.003726018,0.829683,0.004390546,0.00007235933,0.00001807647,0.00009904136,0.148048],"genre_scores_gemma":[0.7500109,0.007239432,0.00720373,0.1831082,0.0127407,0.0002633598,0.00006000005,0.0002307421,0.03914293],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09694234,"threshold_uncertainty_score":0.5126862,"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."}}