{"id":"W2884106802","doi":"10.3138/jsp.49.4.04","title":"Strategic Marketing of Electronic Resources in Academic Libraries in Kenya","year":2018,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strategic marketing; Marketing; Business; Marketing research; Marketing strategy; Marketing science; Business-to-government; Marketing management; Digital marketing; Public relations; Relationship marketing; Business marketing; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002584915,0.000217024,0.0002584964,0.002108761,0.009019078,0.005015428,0.0004848394,0.0009522847,0.004916708],"category_scores_gemma":[0.004501623,0.0003627861,0.00009581947,0.004332279,0.002263726,0.003344111,0.001894864,0.0006630446,0.0006575239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006652352,"about_ca_system_score_gemma":0.01071468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760249,"about_ca_topic_score_gemma":0.0583462,"domain_scores_codex":[0.997914,0.001032006,0.0001261195,0.00009478346,0.0004377308,0.0003953245],"domain_scores_gemma":[0.9953426,0.001890444,0.001230967,0.00005262166,0.0005866662,0.0008967604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005944036,0.002417599,0.3113115,0.002478038,0.00004484663,0.007112587,0.4409359,0.0004723624,0.006543374,0.02224032,0.009341246,0.196508],"study_design_scores_gemma":[0.00004574993,0.000532665,0.2105899,0.0006328462,0.000030179,0.0008470712,0.7327922,0.0003373936,0.002021467,0.001245164,0.05086019,0.0000651163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769837,0.0008669948,0.0001047209,0.001535919,0.000006577946,0.000137362,0.00003605055,0.00000534458,0.02032339],"genre_scores_gemma":[0.9943591,0.001379078,0.0002727459,0.0003440602,0.000008153513,0.00004574493,0.00001832472,0.000002149618,0.003570534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9949846,"threshold_uncertainty_score":0.04826647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130454338295231,"score_gpt":0.2431907781196171,"score_spread":0.2118862347366648,"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."}}