{"id":"W3122182556","doi":"10.5539/ass.v11n16p338","title":"Effective Factors for Increasing Rate of University Publication and Citation","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Macro; Macro level; Higher education; Focus (optics); Micro level; Political science; Regional science; Economics; Sociology; Computer science; Macroeconomics; Law; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059232,0.00003093226,0.00005272646,0.00006225193,0.0005829572,0.00004832591,0.0001087111,0.00002761567,0.000003630548],"category_scores_gemma":[0.001536148,0.00003251241,0.00001202135,0.0006882666,0.0004959565,0.0005680128,0.00001595975,0.00001951783,0.00000137057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680239,"about_ca_system_score_gemma":0.0007398406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279322,"about_ca_topic_score_gemma":0.0001242165,"domain_scores_codex":[0.9993777,0.0001260665,0.00005716304,0.0001176988,0.0002015722,0.0001197799],"domain_scores_gemma":[0.9991857,0.0001422477,0.00009812001,0.00002851603,0.0004540121,0.00009138981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004981353,0.00004411835,0.05511235,0.000007432585,0.000006326171,9.563733e-8,0.3683569,1.086513e-7,0.0009208106,0.4773826,0.001709281,0.09641021],"study_design_scores_gemma":[0.0001660119,0.00001725081,0.921511,0.00000369885,0.000003874155,3.315328e-8,0.04670198,0.000001469485,0.0003572881,0.004652113,0.02652764,0.0000576689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718524,0.000006393411,0.0008951271,0.003041336,0.0002010716,0.0003139358,0.000005594343,0.00001935212,0.1236648],"genre_scores_gemma":[0.9988643,0.000002302937,0.0007437372,0.00004597406,0.00004828302,0.000002536173,0.000002158534,0.000001302868,0.0002894115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8663986,"threshold_uncertainty_score":0.4483694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625116098081239,"score_gpt":0.3187073603170441,"score_spread":0.2924561993362317,"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."}}