{"id":"W2534784384","doi":"10.5703/1288284316259","title":"Acquisitions in a Nutshell","year":2016,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Session (web analytics); Library science; Field (mathematics); Computer science; Management; Political science; World Wide Web; Economics","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":[0.0000295092,0.00003162726,0.00003074805,0.0001053289,0.00002118726,0.00008258576,0.0002150876,0.0000119414,0.0002409257],"category_scores_gemma":[0.00001074617,0.00001799947,0.00001300522,0.0003484654,0.000008733346,0.001050569,0.00009025198,0.000009526815,0.0003262236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001286366,"about_ca_system_score_gemma":0.00002934414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001736813,"about_ca_topic_score_gemma":0.000003774953,"domain_scores_codex":[0.9996597,0.000006887224,0.00006703197,0.0001067012,0.00006755066,0.00009217735],"domain_scores_gemma":[0.999799,0.00004979271,0.000007861297,0.0001047039,0.00000683207,0.00003185459],"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":[0.000005609003,0.0000888878,0.03338895,0.000002016529,0.000004929586,0.00001838596,0.0003536071,0.000001818556,0.0009150081,0.7758138,0.0478566,0.1415504],"study_design_scores_gemma":[0.001601021,0.00009054752,0.1258503,0.00005542831,5.366667e-7,0.00001856215,0.00003632695,0.001074389,0.01925775,0.1944624,0.6570815,0.0004711771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03524806,0.00001657665,0.2220433,0.006149751,0.00009680181,0.00005270683,2.827834e-7,0.0002134365,0.7361791],"genre_scores_gemma":[0.9164436,0.000005261828,0.008383493,0.0006483954,0.00001229869,0.00000724445,1.02079e-7,0.000001550227,0.07449804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8811955,"threshold_uncertainty_score":0.4193053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007225826586439655,"score_gpt":0.1828652250076359,"score_spread":0.1756393984211962,"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."}}