{"id":"W1521654706","doi":"","title":"Global Journal Prestige and Supporting Disciplines: A Scientometric Study of Information Systems Journals","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Productivity; Field (mathematics); Prosperity; Journal ranking; Publication; Prestige; Value (mathematics); Public relations; Political science; Ranking (information retrieval); Politics; Identity (music); Social science; Scientometrics; Sociology; Citation; Computer science; Economic growth; Economics; 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02047711,0.0007040067,0.001393734,0.1035358,0.002861003,0.01167204,0.0007891908,0.001259129,0.004009414],"category_scores_gemma":[0.1136653,0.000319728,0.001169317,0.1707975,0.003626908,0.01292196,0.006023835,0.00110109,0.00110491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406121,"about_ca_system_score_gemma":0.003434205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903554,"about_ca_topic_score_gemma":0.002677877,"domain_scores_codex":[0.9795063,0.006128196,0.00227122,0.001145825,0.009603098,0.001345393],"domain_scores_gemma":[0.8806723,0.06016359,0.020956,0.007025419,0.02363597,0.007546655],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002239101,0.0002994323,0.824694,0.00110443,0.0004253271,0.0003403157,0.03972368,0.0008661055,0.0007627684,0.01388354,0.00879804,0.1088784],"study_design_scores_gemma":[0.00002643712,0.0003245924,0.9347941,0.0002509306,0.0001004994,0.0003672346,0.03821441,0.001112114,0.0003823583,0.00547781,0.01887997,0.00006953785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335313,0.004022054,0.001886549,0.003657428,0.0001952807,0.0002425209,0.003207115,0.0001014416,0.05315629],"genre_scores_gemma":[0.991011,0.002449149,0.001600808,0.0003998617,0.0008519977,0.0001614119,0.002225058,0.00007917531,0.001221424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9795229,"threshold_uncertainty_score":0.1082946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138495363808857,"score_gpt":0.3509785787456902,"score_spread":0.3295936251076017,"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."}}