{"id":"W1577615408","doi":"","title":"Going Paperless: Using eBooks in Faculty Development Workshops","year":2013,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Business; Engineering management; Computer science; Engineering; Public relations; Multimedia; Political 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"],"consensus_categories":[],"category_scores_codex":[0.0003560832,0.0003631121,0.000349113,0.0004078711,0.0003620579,0.001016086,0.0004519292,0.0001355312,0.0001885902],"category_scores_gemma":[0.00003928952,0.0003643044,0.00003535514,0.001007368,0.00006177129,0.001197857,0.0002312168,0.0006560249,0.00009042382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007192457,"about_ca_system_score_gemma":0.00133174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002996065,"about_ca_topic_score_gemma":0.000376795,"domain_scores_codex":[0.9969977,0.0002359516,0.000681366,0.0008043697,0.0006884983,0.0005921504],"domain_scores_gemma":[0.9986292,0.0001276133,0.0005619937,0.0002871461,0.0001141118,0.0002799336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000781015,0.0003779688,0.529229,0.0001762253,0.00002546193,0.00001184054,0.004212323,0.0002041152,0.000179657,0.1216347,0.001339498,0.3425311],"study_design_scores_gemma":[0.0008901017,0.0001551687,0.8865412,0.001057863,0.000003649184,0.000007002995,0.001361851,0.004297717,0.0002568884,0.008408006,0.09610239,0.0009181856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544258,0.0002628372,0.0004478344,0.006022153,0.0009579294,0.0009305698,0.000001560723,0.0002382605,0.1367131],"genre_scores_gemma":[0.9032905,0.00004535591,0.00632749,0.001150452,0.00007355745,0.000161171,0.00001561412,0.00002600436,0.08890985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3573121,"threshold_uncertainty_score":0.9998809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09756261488578846,"score_gpt":0.2825451982490744,"score_spread":0.1849825833632859,"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."}}