{"id":"W2775922399","doi":"10.18438/b8g66f","title":"Understanding Factors that Encourage Research Productivity for Academic Librarians","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Windsor; Western University","funders":"Canadian Association of Research Libraries; University of Windsor; University of Ottawa","keywords":"Productivity; Psychology; USable; Peer review; Computer science; Political science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003950988,0.0001327397,0.0001322849,0.0002658844,0.005330713,0.004557949,0.000903766,0.0001692689,0.0002309234],"category_scores_gemma":[0.01098706,0.0001176667,0.00004719397,0.0003401189,0.0006844904,0.8621535,0.000172044,0.0004784039,0.00003033005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467747,"about_ca_system_score_gemma":0.0007754894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005745019,"about_ca_topic_score_gemma":1.116313e-7,"domain_scores_codex":[0.9977137,0.000468434,0.0003592645,0.0002138237,0.0007927695,0.0004519454],"domain_scores_gemma":[0.9943101,0.004301696,0.0006037187,0.0004265704,0.00009608969,0.0002618253],"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":[0.0001519184,0.00001644088,0.005696816,0.00006703053,0.000006404166,4.232237e-7,0.005999367,0.000006577882,0.00002153098,0.946521,0.03863421,0.00287829],"study_design_scores_gemma":[0.0002116315,0.00008412261,0.004348904,0.000148649,0.000007097585,0.000001150691,0.01928721,0.0006452931,0.001455768,0.003631247,0.9700021,0.0001768001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01978829,0.0004040157,0.0217745,0.8678054,0.001045119,0.002117495,0.0001170088,0.0003476095,0.08660054],"genre_scores_gemma":[0.9647108,0.00222158,0.00169461,0.02863619,0.0002610622,0.00006602961,0.00008028594,0.00001072518,0.002318671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9449226,"threshold_uncertainty_score":0.9973438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3447769091229008,"score_gpt":0.4268576063855998,"score_spread":0.08208069726269906,"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."}}