{"id":"W2766830856","doi":"10.1080/01462679.2017.1365264","title":"Ebooks Versus Print Books: Format Preferences in an Academic Library","year":2017,"lang":"en","type":"article","venue":"Collection Management","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; World Wide Web; Subject (documents); Computer science; Collection development; Subject matter; Electronic book; Academic library; Library science; Usage data; Information retrieval; Multimedia; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002823379,0.0001727571,0.0003273985,0.003115685,0.0009673988,0.003274781,0.0003437908,0.0002553327,0.003447322],"category_scores_gemma":[0.01869264,0.0001677421,0.0002420629,0.005223125,0.0006967153,0.002350309,0.0009601877,0.0002615325,0.0006468574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148329,"about_ca_system_score_gemma":0.0007057018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810631,"about_ca_topic_score_gemma":0.03937909,"domain_scores_codex":[0.997834,0.000842387,0.0002846174,0.000140456,0.0007460515,0.0001523946],"domain_scores_gemma":[0.9794781,0.01467021,0.002510629,0.00054596,0.002259855,0.0005352735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001187749,0.0001877686,0.728262,0.0006551286,0.0001562563,0.0005906968,0.1214555,0.0002486393,0.00636564,0.0006322134,0.001983684,0.1382748],"study_design_scores_gemma":[0.00001286903,0.0002487797,0.9023148,0.0001319664,0.00007614674,0.0004314772,0.08768535,0.0004779599,0.002373575,0.0001883752,0.005993611,0.00006507427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959102,0.0002519802,0.0002349826,0.00006995284,0.000003746154,0.00001581662,0.0001482448,0.00001387358,0.003351165],"genre_scores_gemma":[0.9972612,0.0003943832,0.0004543184,0.00005807543,0.00001117106,0.00001548566,0.0001458965,0.00001786666,0.001641638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9967252,"threshold_uncertainty_score":0.03600186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493155833795126,"score_gpt":0.2680266582627259,"score_spread":0.2187110748832133,"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."}}