{"id":"W2258582882","doi":"10.25071/1708-6701.30971","title":"What is Ensemble Librarianship?","year":2010,"lang":"en","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003819145,0.0001903924,0.0003375993,0.00005389241,0.00009167385,0.0007403272,0.00191228,0.0001116968,0.0004048371],"category_scores_gemma":[0.00004407752,0.0001676614,0.0001619338,0.0005185224,0.00002744172,0.004515449,0.0003325798,0.0003716725,0.0008407006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008194453,"about_ca_system_score_gemma":0.0001055764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007699857,"about_ca_topic_score_gemma":0.000009516988,"domain_scores_codex":[0.9986174,0.00008792968,0.0003073664,0.0004624325,0.0001545169,0.0003703272],"domain_scores_gemma":[0.9981675,0.00009563527,0.0001331617,0.001323632,0.00004545343,0.0002345991],"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":[0.000003371839,0.00009707917,0.002289943,0.006429688,0.00003658164,0.0001659475,0.00166715,7.310318e-7,0.003318378,0.2440561,0.1450427,0.5968922],"study_design_scores_gemma":[0.00009070709,0.00002566197,0.001236687,0.001754879,0.00001625928,0.0001440212,0.000009246382,0.0006210461,0.002522812,0.00583771,0.9874861,0.000254911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03383647,0.547305,0.01721078,0.3015261,0.01084496,0.001834859,0.00001396613,0.001368484,0.08605934],"genre_scores_gemma":[0.09409621,0.3711447,0.1638669,0.3352109,0.003640494,0.0002592987,0.0000550864,0.0001487957,0.03157763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8424433,"threshold_uncertainty_score":0.9999372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533228640082178,"score_gpt":0.243592085602699,"score_spread":0.2282597992018773,"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."}}