{"id":"W2285529589","doi":"10.18352/lq.10139","title":"A Library-publisher Partnership for Open Access: Building an Innovative Relationship between Scholarly Publishers and Academic Libraries","year":2016,"lang":"en","type":"article","venue":"LIBER Quarterly The Journal of the Association of European Research Libraries","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Publishing; Open access publishing; Public relations; Scholarly communication; Business; Political science; Library science; Sociology; Computer science; Finance","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":["metaresearch","bibliometrics","scholarly_communication","open_science"],"consensus_categories":["metaresearch","bibliometrics","scholarly_communication"],"category_scores_codex":[0.1033283,0.0002012173,0.0004907713,0.01172282,0.001139172,0.05936775,0.01783936,0.0001929529,0.000105403],"category_scores_gemma":[0.1765739,0.00008992235,0.0001670125,0.05494702,0.0007659544,0.1164982,0.004100544,0.001593623,0.00001118761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206317,"about_ca_system_score_gemma":0.001188529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095038,"about_ca_topic_score_gemma":0.00000239711,"domain_scores_codex":[0.9777664,0.01096881,0.001944052,0.0004850226,0.008010365,0.0008253586],"domain_scores_gemma":[0.8889971,0.09488098,0.00406563,0.00145576,0.009941536,0.0006589665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948069,0.00003825246,0.7259108,0.000007210997,0.00007632655,7.405682e-7,0.002375366,8.515e-7,0.0001875494,0.02628901,0.230864,0.01405507],"study_design_scores_gemma":[0.0008351358,0.0004814697,0.6956143,0.0000730038,0.00001489461,0.000002013351,0.001790736,0.000007933916,0.0004697388,0.2546743,0.04592804,0.0001084645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.876218,0.000719224,0.001346768,0.1065849,0.0004225268,0.0009620533,0.00007853924,0.00002803102,0.01364006],"genre_scores_gemma":[0.9832131,0.00004236602,0.001308017,0.0003896408,0.0005176509,0.000008926306,0.000003431056,0.00004795583,0.01446891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2283853,"threshold_uncertainty_score":0.9994785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6954928810346864,"score_gpt":0.5685022125474674,"score_spread":0.1269906684872191,"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."}}