{"id":"W1485734132","doi":"10.18438/b82p6j","title":"Patron-Driven Acquisition of E-Books Satisfies Users’ Needs While Also Building the Library’s Collection","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Library science; Selection (genetic algorithm); Computer science; Collection development; Library catalog; World Wide Web; School library; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001962708,0.0001567273,0.00013813,0.0004180269,0.0003923891,0.002386753,0.0005007807,0.00007388141,0.0003703653],"category_scores_gemma":[0.0002467701,0.0001186053,0.00005242658,0.001387484,0.00007607428,0.4262582,0.0003100268,0.0001528492,0.0000491418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009431945,"about_ca_system_score_gemma":0.0002667189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231595,"about_ca_topic_score_gemma":2.13403e-8,"domain_scores_codex":[0.9986069,0.0002076648,0.0004887367,0.0001505912,0.0003583929,0.0001877704],"domain_scores_gemma":[0.99741,0.001652533,0.0004714179,0.0002985477,0.00006812267,0.00009937115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003508345,0.00009788501,0.01633639,0.0002386771,0.00009182221,0.000002063002,0.004733731,0.001325273,0.0004889778,0.7820079,0.1464189,0.04790754],"study_design_scores_gemma":[0.0008701158,0.0006159445,0.06866074,0.000521283,0.00003385703,0.00004790713,0.002606491,0.08198041,0.03180901,0.003710168,0.8085464,0.0005976553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1975619,0.002238873,0.2062011,0.4242934,0.00134079,0.003447415,0.00002250459,0.001894752,0.1629992],"genre_scores_gemma":[0.9227711,0.0008546404,0.04044411,0.03373048,0.00008418434,0.0001200018,0.00002658368,0.00001291861,0.00195598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7782977,"threshold_uncertainty_score":0.9986489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147253455960608,"score_gpt":0.2089503914822857,"score_spread":0.1974778569226796,"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."}}