{"id":"W2893271376","doi":"10.5703/1288284316670","title":"Is the Past Really Prologue? The Effect of a University’s Consolidation on Its JSTOR Subscription","year":2018,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Consolidation (business); Prologue; Outreach; Library science; Affect (linguistics); Computer science; Political science; World Wide Web; Business; History; Psychology; Accounting; Archaeology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0007505915,0.00005355227,0.00006031896,0.00005697331,0.0002056332,0.00009457215,0.0008239877,0.00002659575,0.0000344737],"category_scores_gemma":[0.00002252391,0.00002396245,0.00003265473,0.000404449,0.0001062524,0.00183354,0.00008678565,0.00004184969,0.0003444829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001243349,"about_ca_system_score_gemma":0.00003169136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723411,"about_ca_topic_score_gemma":0.000002513475,"domain_scores_codex":[0.9992567,0.0001971272,0.0001178486,0.0001076008,0.0002244091,0.00009627136],"domain_scores_gemma":[0.9993012,0.0001381053,0.0001146781,0.0003421014,0.00008231053,0.00002159803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004559187,0.00006009733,0.02470071,0.00009162589,0.00008017092,0.000002559678,0.05975005,0.00009177854,0.006557174,0.4388397,0.4407535,0.02861666],"study_design_scores_gemma":[0.002041785,0.007016178,0.1075904,0.00009243753,0.00001575112,0.00003925599,0.002511221,0.1778822,0.2218869,0.0003773523,0.480095,0.0004515668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094193,0.000008327161,0.04718642,0.02446675,0.0009306243,0.001029425,0.000005007189,0.0001510876,0.1168031],"genre_scores_gemma":[0.9960988,0.000002067682,0.00005971523,0.00146502,0.00005905925,0.000001823369,0.000001061859,9.719701e-7,0.00231152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4384623,"threshold_uncertainty_score":0.4427746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090262369140081,"score_gpt":0.2199108900406392,"score_spread":0.1990082663492383,"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."}}