{"id":"W2507136827","doi":"10.5860/crl.77.5.673","title":"<b><i>Academic E-Books: Publishers, Librarians, and Users.</i></b> Suzanne M. Ward, Robert S. Freeman, and Judith M. Nixon, eds. West Lafayette, Ind.: Purdue University Press, 2016. 360p. Paper, $29.95 (ISBN 978-1-5575-3727-0). LC 2015027357.","year":2016,"lang":"en","type":"article","venue":"College & Research Libraries","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Library science; Media studies; Sociology; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts","scholarly_communication"],"category_scores_codex":[0.001869977,0.001173994,0.001242103,0.001619965,0.002504911,0.007021778,0.004795332,0.001035043,0.0005865051],"category_scores_gemma":[0.00136088,0.0009913449,0.0002722031,0.003835297,0.002856103,0.04785111,0.006982761,0.00132805,0.0001870799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958539,"about_ca_system_score_gemma":0.003890833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008586768,"about_ca_topic_score_gemma":0.0002370682,"domain_scores_codex":[0.989348,0.001183034,0.001225508,0.002727468,0.002768378,0.002747648],"domain_scores_gemma":[0.9921121,0.002785404,0.0004815437,0.001971292,0.0006410122,0.002008653],"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":[0.0005455978,0.0001790139,0.002931861,0.0001583293,0.0002379029,0.0002852482,0.0005578565,0.00000298104,0.001417433,0.1553997,0.8310094,0.00727468],"study_design_scores_gemma":[0.00346405,0.0005104116,0.00809327,0.0005114215,0.00003620588,0.00007625722,0.0001391345,0.0003358159,0.001821402,0.008904647,0.9747641,0.001343275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07934463,0.2425301,0.003815223,0.1260423,0.003701387,0.008757298,0.002095648,0.005100989,0.5286124],"genre_scores_gemma":[0.1016995,0.08792756,0.01006782,0.002651717,0.002234133,0.0003811082,0.0002849695,0.0004580623,0.7942951],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2656827,"threshold_uncertainty_score":0.9998575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121684214928189,"score_gpt":0.2211220257334955,"score_spread":0.1999051835842136,"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."}}