{"id":"W2886947640","doi":"10.5539/cis.v11n3p95","title":"Strategy to Promote Professional Reading in University Libraries","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Reading (process); Computer science; Professional development; Multimedia; Public relations; Pedagogy; Psychology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481698,0.0005097798,0.0002136717,0.001704397,0.001954884,0.003236488,0.001001823,0.001044062,0.009008834],"category_scores_gemma":[0.003685345,0.0002051432,0.0003566681,0.001219493,0.001214931,0.002956399,0.0021189,0.0008737972,0.003242594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089077,"about_ca_system_score_gemma":0.00260154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670022,"about_ca_topic_score_gemma":0.003217986,"domain_scores_codex":[0.9986858,0.0006153017,0.00007622318,0.0001465908,0.0002827981,0.0001933283],"domain_scores_gemma":[0.9972085,0.0007984003,0.0003996973,0.0003146133,0.0005748044,0.000703991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002555954,0.001834532,0.04825212,0.001617695,0.0000509109,0.001353166,0.04124634,0.0007557198,0.02031607,0.03451819,0.02297372,0.826826],"study_design_scores_gemma":[0.0002892988,0.003235619,0.19446,0.001595399,0.0003803483,0.00413199,0.1386408,0.01084784,0.04593893,0.05159439,0.5484504,0.0004351309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6342209,0.002803299,0.09908637,0.01224712,0.0003687596,0.0008823756,0.0001192174,0.003709154,0.2465628],"genre_scores_gemma":[0.902144,0.0009278637,0.05489188,0.0009994325,0.0001190384,0.0002337616,0.00008521343,0.0001673708,0.04043146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009008834,"threshold_uncertainty_score":0.03013754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115626412209306,"score_gpt":0.2246358759308399,"score_spread":0.2130732347099093,"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."}}