{"id":"W2767773742","doi":"10.13021/g8osi.1.2017.1929","title":"Scholarly Libraries &amp; Library Groups Stakeholder Report","year":2017,"lang":"en","type":"article","venue":"Open Scholarship Initiative Proceedings","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Viewpoints; Stakeholder; Bridging (networking); Knowledge management; Public relations; Face (sociological concept); Set (abstract data type); Digital library; Computer science; World Wide Web; Political science; Sociology; Library science; Social 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","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0009192888,0.0003919599,0.0003983684,0.0003095123,0.002743545,0.112553,0.008208317,0.0001857991,0.000322214],"category_scores_gemma":[0.002138899,0.0003612773,0.0001045377,0.0006851285,0.0002339977,0.2424405,0.007127485,0.000741647,0.0003584908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004543063,"about_ca_system_score_gemma":0.0006093913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000632005,"about_ca_topic_score_gemma":0.00000188056,"domain_scores_codex":[0.996965,0.00004614613,0.000577835,0.001075659,0.0007565099,0.0005788854],"domain_scores_gemma":[0.9973717,0.0001222705,0.0008184358,0.0009333121,0.0003595856,0.0003947519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001112029,0.0001673946,0.5565875,0.00004555563,0.0001201391,0.0002192835,0.003302811,1.304246e-7,0.000225561,0.3891512,0.04245045,0.007618823],"study_design_scores_gemma":[0.001015063,0.0001123034,0.3485339,0.0002061657,0.0000104641,0.0001890642,0.0002400666,0.00001513932,0.009118642,0.2057614,0.4339235,0.0008742708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2156413,0.0001204707,0.001325911,0.007115312,0.0004105129,0.0006699895,0.000009589803,0.0005278958,0.774179],"genre_scores_gemma":[0.8585173,0.00003512723,0.07282896,0.003833134,0.0002566618,0.0001875888,0.00003419303,0.00006980545,0.06423718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7099419,"threshold_uncertainty_score":0.9998839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806584001545904,"score_gpt":0.3078312336840089,"score_spread":0.1271728335294185,"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."}}