{"id":"W2290477913","doi":"10.11575/prism/29775","title":"eBook Discovery and Access: We Want It Now!","year":2010,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Business; Internet privacy; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004998631,0.00007412713,0.0001032499,0.0001361163,0.0001471153,0.0002187208,0.0006438977,0.00004985221,0.00004669631],"category_scores_gemma":[0.000007073968,0.00007689701,0.00004007641,0.0001733271,0.0001012864,0.003273208,0.000721256,0.0001067585,0.00001821003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007093363,"about_ca_system_score_gemma":0.00009091297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003850422,"about_ca_topic_score_gemma":0.000009806452,"domain_scores_codex":[0.9994326,0.00001154436,0.00006493171,0.0002045169,0.0001643927,0.0001220005],"domain_scores_gemma":[0.9995965,0.00005033361,0.00005834692,0.0001857244,0.00001960044,0.00008951519],"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":[0.0001145731,0.0001588541,0.02146318,0.0001004891,0.0001126033,0.0001526863,0.009330049,6.711246e-7,0.002365279,0.08588717,0.1054432,0.7748712],"study_design_scores_gemma":[0.001452093,0.0001295585,0.07426059,0.00005486806,0.00001926549,0.00003468692,0.0001318716,0.04847011,0.002563612,0.0232219,0.8490356,0.0006258966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3598764,0.00005788835,0.5090554,0.008136783,0.0003686934,0.0001557486,2.619167e-7,0.0001280005,0.1222208],"genre_scores_gemma":[0.5495875,0.0004129928,0.1371864,0.0005527978,0.00003704556,7.012081e-7,0.000004586563,0.00001428399,0.3122037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7742454,"threshold_uncertainty_score":0.3135769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121745750170601,"score_gpt":0.1889803298771252,"score_spread":0.1777628723754192,"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."}}