{"id":"W2097026038","doi":"10.18438/b89c70","title":"Looking for Links: How Faculty Research Productivity Correlates with Library Investment and Why Electronic Library Materials Matter Most","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Productivity; Investment (military); Institution; Variety (cybernetics); Scholarly communication; Ordinary least squares; Public relations; Computer science; Marketing; Sociology; Business; Economics; Political science; Social science; Econometrics; Publishing","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":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0130503,0.0002289921,0.0003027734,0.0100885,0.0004856917,0.01637079,0.000966972,0.0002099124,0.0004222371],"category_scores_gemma":[0.02696882,0.000152377,0.00003344748,0.0287515,0.0003163131,0.3722342,0.0009199059,0.0006813948,0.0001002705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003043209,"about_ca_system_score_gemma":0.001415552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006640886,"about_ca_topic_score_gemma":5.663334e-8,"domain_scores_codex":[0.9934801,0.001046556,0.0006370745,0.0006181995,0.003516498,0.0007016099],"domain_scores_gemma":[0.984601,0.01282259,0.0005676285,0.0006149123,0.0008111288,0.0005827063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004331708,0.0002649366,0.08703703,0.0003330082,0.00007279998,0.00001522646,0.0009253208,0.0001277848,0.0003562541,0.09220307,0.7822049,0.032128],"study_design_scores_gemma":[0.0008812121,0.001159163,0.01008343,0.0001678664,0.00001681485,0.00004510333,0.001663669,0.003067896,0.01579452,0.006646977,0.9601689,0.0003044763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3418784,0.004831849,0.004933458,0.6338429,0.0004622221,0.003381941,0.0003214272,0.0002512688,0.01009654],"genre_scores_gemma":[0.8941167,0.002851143,0.02007894,0.0756292,0.0003745876,0.0003609767,0.0004363639,0.00006386812,0.006088221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5582137,"threshold_uncertainty_score":0.9918929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3275103745388362,"score_gpt":0.4735892109220031,"score_spread":0.1460788363831669,"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."}}